Overview

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Dataset statistics

Number of variables134
Number of observations26208
Missing cells924
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric113
Categorical19
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 23 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 22 other fieldsHigh correlation
Active power limit source is highly overall correlated with Active power limit [W] and 47 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 53 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Active power limit source and 53 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Blades PitchAngle Max. [°] and 27 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Active power limit source and 43 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Active power limit source and 13 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 2 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power limit source and 12 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Active power limit source and 48 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 3 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Active power limit source and 53 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 57 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 57 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 57 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Active power limit source and 48 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Active power limit source and 54 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 57 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 46 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with Active power limit source and 42 other fieldsHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Grid Production ReactivePower Max. [W] and 3 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Blades PitchAngle StdDev [°] and 4 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Grid Production ReactivePower StdDev [W] and 3 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 7 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Active power limit source and 5 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Active power limit source and 5 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Active power limit source and 5 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 57 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 57 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 57 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Active power limit source and 6 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 55 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Active power limit source and 56 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 6 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower Min. [W] and 5 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 6 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit source and 4 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 6 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 6 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with missing_dataHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with Active power limit source and 4 other fieldsHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power limit source and 22 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit [W] and 47 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit [W] and 47 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 45 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower StdDev [W] and 4 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Grid Production ReactivePower Avg. [W] and 4 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 28 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Grid Production ReactivePower Avg. [W] and 4 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Active power limit source and 58 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (97.2%) Imbalance
Active power limit source is highly imbalanced (98.8%) Imbalance
Power factor set point is highly imbalanced (98.8%) Imbalance
Power factor set point source is highly imbalanced (98.8%) Imbalance
missing_data is highly imbalanced (99.6%) Imbalance
Generator RPM Min. [RPM] is highly skewed (γ1 = 29.71391586) Skewed
Rotor RPM Min. [RPM] is highly skewed (γ1 = 32.96593193) Skewed
Ambient WindSpeed Min. [m/s] is highly skewed (γ1 = 32.98841844) Skewed
Blades PitchAngle Min. [°] is highly skewed (γ1 = -31.29973707) Skewed
Blades PitchAngle Max. [°] is highly skewed (γ1 = 31.58303324) Skewed
HourCounters Average GridOn Avg. [h] is highly skewed (γ1 = -31.05522503) Skewed
First Alarm parameter 1 in 10 min frame is highly skewed (γ1 = 29.14848097) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = 53.76475354) Skewed
Total hour counter [h] is uniformly distributed Uniform
Grid on hours [h] is uniformly distributed Uniform
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 970 (3.7%) zeros Zeros
Generator RPM Min. [RPM] has 2307 (8.8%) zeros Zeros
Generator RPM Avg. [RPM] has 1373 (5.2%) zeros Zeros
Generator RPM StdDev [RPM] has 1270 (4.8%) zeros Zeros
Rotor RPM Max. [RPM] has 1298 (5.0%) zeros Zeros
Rotor RPM Min. [RPM] has 2468 (9.4%) zeros Zeros
Rotor RPM Avg. [RPM] has 1871 (7.1%) zeros Zeros
Rotor RPM StdDev [RPM] has 7132 (27.2%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 17963 (68.5%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 10042 (38.3%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 3466 (13.2%) zeros Zeros
Grid Production PossiblePower Max. [W] has 3361 (12.8%) zeros Zeros
Grid Production PossiblePower Min. [W] has 4076 (15.6%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 4186 (16.0%) zeros Zeros
Blades PitchAngle Min. [°] has 267 (1.0%) zeros Zeros
Blades PitchAngle Avg. [°] has 375 (1.4%) zeros Zeros
Blades PitchAngle StdDev [°] has 5567 (21.2%) zeros Zeros
HourCounters Average GridOk Avg. [h] has 431 (1.6%) zeros Zeros
HourCounters Average TurbineOk Avg. [h] has 738 (2.8%) zeros Zeros
HourCounters Average Run Avg. [h] has 937 (3.6%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 16563 (63.2%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 13782 (52.6%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 9696 (37.0%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 25755 (98.3%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 601 (2.3%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 6463 (24.7%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 25131 (95.9%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 18717 (71.4%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 16513 (63.0%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 13707 (52.3%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 18730 (71.5%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 20336 (77.6%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 23396 (89.3%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 12637 (48.2%) zeros Zeros
System Logs First Active Alarm No has 25131 (95.9%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25890 (98.8%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 26159 (99.8%) zeros Zeros

Reproduction

Analysis started2025-05-05 15:36:52.884216
Analysis finished2025-05-05 15:37:25.008924
Duration32.12 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-05T17:37:25.055732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-05T17:37:25.141796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1276
Distinct (%)4.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1182.2622
Minimum0
Maximum2059
Zeros970
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:25.229033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q11060
median1296
Q31648
95-th percentile1742
Maximum2059
Range2059
Interquartile range (IQR)588

Descriptive statistics

Standard deviation553.20774
Coefficient of variation (CV)0.46792304
Kurtosis-0.20840199
Mean1182.2622
Median Absolute Deviation (MAD)339
Skewness-1.012013
Sum30976453
Variance306038.81
MonotonicityNot monotonic
2025-05-05T17:37:25.303195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 970
 
3.7%
1054 286
 
1.1%
1055 282
 
1.1%
1057 240
 
0.9%
1059 221
 
0.8%
1056 220
 
0.8%
1061 208
 
0.8%
1058 199
 
0.8%
1063 195
 
0.7%
1645 193
 
0.7%
Other values (1266) 23187
88.5%
ValueCountFrequency (%)
0 970
3.7%
1 126
 
0.5%
2 70
 
0.3%
3 45
 
0.2%
4 54
 
0.2%
5 39
 
0.1%
6 35
 
0.1%
7 26
 
0.1%
8 31
 
0.1%
9 33
 
0.1%
ValueCountFrequency (%)
2059 1
< 0.1%
1920 1
< 0.1%
1899 1
< 0.1%
1897 1
< 0.1%
1894 2
< 0.1%
1889 1
< 0.1%
1887 1
< 0.1%
1884 1
< 0.1%
1880 2
< 0.1%
1875 1
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1111
Distinct (%)4.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1004.3687
Minimum0
Maximum65535
Zeros2307
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:25.376717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1917
median1041
Q31297
95-th percentile1602
Maximum65535
Range65535
Interquartile range (IQR)380

Descriptive statistics

Standard deviation2023.0452
Coefficient of variation (CV)2.0142455
Kurtosis945.5406
Mean1004.3687
Median Absolute Deviation (MAD)255
Skewness29.713916
Sum26315465
Variance4092711.9
MonotonicityNot monotonic
2025-05-05T17:37:25.451541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2307
 
8.8%
1043 502
 
1.9%
1044 494
 
1.9%
1041 441
 
1.7%
1042 437
 
1.7%
1039 417
 
1.6%
1040 387
 
1.5%
1038 385
 
1.5%
1045 348
 
1.3%
1037 344
 
1.3%
Other values (1101) 20139
76.8%
ValueCountFrequency (%)
0 2307
8.8%
1 55
 
0.2%
2 65
 
0.2%
3 34
 
0.1%
4 19
 
0.1%
5 11
 
< 0.1%
6 16
 
0.1%
7 11
 
< 0.1%
8 8
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
65535 24
0.1%
1638 1
 
< 0.1%
1637 2
 
< 0.1%
1636 8
 
< 0.1%
1635 9
 
< 0.1%
1634 12
< 0.1%
1633 12
< 0.1%
1632 16
0.1%
1631 16
0.1%
1630 18
0.1%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1558
Distinct (%)5.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1064.3658
Minimum0
Maximum1647
Zeros1373
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:25.527654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11047
median1106
Q31558
95-th percentile1640
Maximum1647
Range1647
Interquartile range (IQR)511

Descriptive statistics

Standard deviation535.96499
Coefficient of variation (CV)0.50355338
Kurtosis-0.5312527
Mean1064.3658
Median Absolute Deviation (MAD)396
Skewness-0.81970466
Sum27887448
Variance287258.47
MonotonicityNot monotonic
2025-05-05T17:37:25.604499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 2986
 
11.4%
1639 1691
 
6.5%
0 1373
 
5.2%
1640 502
 
1.9%
1050 455
 
1.7%
1638 382
 
1.5%
1641 313
 
1.2%
1642 292
 
1.1%
1051 271
 
1.0%
1643 237
 
0.9%
Other values (1548) 17699
67.5%
ValueCountFrequency (%)
0 1373
5.2%
1 135
 
0.5%
2 99
 
0.4%
3 62
 
0.2%
4 60
 
0.2%
5 31
 
0.1%
6 34
 
0.1%
7 23
 
0.1%
8 23
 
0.1%
9 25
 
0.1%
ValueCountFrequency (%)
1647 8
 
< 0.1%
1646 28
 
0.1%
1645 93
 
0.4%
1644 195
 
0.7%
1643 237
 
0.9%
1642 292
 
1.1%
1641 313
 
1.2%
1640 502
 
1.9%
1639 1691
6.5%
1638 382
 
1.5%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct530
Distinct (%)2.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.593222
Minimum0
Maximum773
Zeros1270
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:25.681913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median30
Q378
95-th percentile242
Maximum773
Range773
Interquartile range (IQR)70

Descriptive statistics

Standard deviation84.676385
Coefficient of variation (CV)1.4209063
Kurtosis11.697788
Mean59.593222
Median Absolute Deviation (MAD)26
Skewness3.0149046
Sum1561402
Variance7170.0903
MonotonicityNot monotonic
2025-05-05T17:37:25.761334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1270
 
4.8%
2 993
 
3.8%
3 706
 
2.7%
5 696
 
2.7%
4 629
 
2.4%
7 609
 
2.3%
6 602
 
2.3%
1 597
 
2.3%
8 574
 
2.2%
9 461
 
1.8%
Other values (520) 19064
72.7%
ValueCountFrequency (%)
0 1270
4.8%
1 597
2.3%
2 993
3.8%
3 706
2.7%
4 629
2.4%
5 696
2.7%
6 602
2.3%
7 609
2.3%
8 574
2.2%
9 461
 
1.8%
ValueCountFrequency (%)
773 1
< 0.1%
769 1
< 0.1%
742 1
< 0.1%
741 1
< 0.1%
735 1
< 0.1%
732 1
< 0.1%
731 1
< 0.1%
729 1
< 0.1%
725 1
< 0.1%
723 2
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct69
Distinct (%)0.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean54.650242
Minimum0
Maximum90
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:25.841659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q146
median53
Q364
95-th percentile81
Maximum90
Range90
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.996909
Coefficient of variation (CV)0.25611797
Kurtosis-0.35703361
Mean54.650242
Median Absolute Deviation (MAD)9
Skewness0.15984483
Sum1431891
Variance195.91347
MonotonicityNot monotonic
2025-05-05T17:37:25.919773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 938
 
3.6%
50 924
 
3.5%
52 921
 
3.5%
48 902
 
3.4%
54 880
 
3.4%
49 843
 
3.2%
53 804
 
3.1%
47 798
 
3.0%
46 738
 
2.8%
56 728
 
2.8%
Other values (59) 17725
67.6%
ValueCountFrequency (%)
0 24
 
0.1%
23 8
 
< 0.1%
24 20
 
0.1%
25 7
 
< 0.1%
26 53
 
0.2%
27 168
0.6%
28 212
0.8%
29 141
0.5%
30 257
1.0%
31 251
1.0%
ValueCountFrequency (%)
90 7
 
< 0.1%
89 10
 
< 0.1%
88 16
 
0.1%
87 27
 
0.1%
86 120
 
0.5%
85 116
 
0.4%
84 93
 
0.4%
83 182
0.7%
82 421
1.6%
81 353
1.3%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct93
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean51.362811
Minimum0
Maximum110
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:25.997071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q137
median46
Q362
95-th percentile96
Maximum110
Range110
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.8882
Coefficient of variation (CV)0.38721012
Kurtosis0.19859131
Mean51.362811
Median Absolute Deviation (MAD)12
Skewness0.96820959
Sum1345757
Variance395.5405
MonotonicityNot monotonic
2025-05-05T17:37:26.071931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1047
 
4.0%
29 1047
 
4.0%
40 885
 
3.4%
38 876
 
3.3%
39 852
 
3.3%
41 786
 
3.0%
28 756
 
2.9%
46 749
 
2.9%
42 736
 
2.8%
31 727
 
2.8%
Other values (83) 17740
67.7%
ValueCountFrequency (%)
0 24
 
0.1%
19 4
 
< 0.1%
20 4
 
< 0.1%
21 7
 
< 0.1%
22 5
 
< 0.1%
23 6
 
< 0.1%
24 28
 
0.1%
25 70
0.3%
26 84
0.3%
27 160
0.6%
ValueCountFrequency (%)
110 10
 
< 0.1%
109 19
 
0.1%
108 21
 
0.1%
107 28
 
0.1%
106 59
 
0.2%
105 82
0.3%
104 38
 
0.1%
103 39
 
0.1%
102 55
 
0.2%
101 200
0.8%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct96
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean52.325217
Minimum0
Maximum113
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:26.147952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q138
median46
Q364
95-th percentile98
Maximum113
Range113
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.551919
Coefficient of variation (CV)0.39277274
Kurtosis0.15444389
Mean52.325217
Median Absolute Deviation (MAD)13
Skewness0.94963977
Sum1370973
Variance422.38137
MonotonicityNot monotonic
2025-05-05T17:37:26.223298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1041
 
4.0%
29 975
 
3.7%
40 945
 
3.6%
42 841
 
3.2%
28 789
 
3.0%
39 765
 
2.9%
41 756
 
2.9%
46 728
 
2.8%
44 719
 
2.7%
47 684
 
2.6%
Other values (86) 17958
68.5%
ValueCountFrequency (%)
0 24
 
0.1%
19 3
 
< 0.1%
20 5
 
< 0.1%
21 5
 
< 0.1%
22 6
 
< 0.1%
23 6
 
< 0.1%
24 35
 
0.1%
25 60
 
0.2%
26 85
0.3%
27 171
0.7%
ValueCountFrequency (%)
113 5
 
< 0.1%
112 17
 
0.1%
111 16
 
0.1%
110 21
 
0.1%
109 28
 
0.1%
108 97
0.4%
107 50
 
0.2%
106 38
 
0.1%
105 37
 
0.1%
104 133
0.5%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct98
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean53.162589
Minimum0
Maximum115
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:26.297690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q138
median47
Q365
95-th percentile101
Maximum115
Range115
Interquartile range (IQR)27

Descriptive statistics

Standard deviation21.262833
Coefficient of variation (CV)0.39995857
Kurtosis0.19383528
Mean53.162589
Median Absolute Deviation (MAD)13
Skewness0.96635914
Sum1392913
Variance452.10807
MonotonicityNot monotonic
2025-05-05T17:37:26.373951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1050
 
4.0%
29 928
 
3.5%
40 908
 
3.5%
42 803
 
3.1%
41 759
 
2.9%
44 737
 
2.8%
28 727
 
2.8%
46 709
 
2.7%
39 696
 
2.7%
43 676
 
2.6%
Other values (88) 18208
69.5%
ValueCountFrequency (%)
0 24
 
0.1%
19 2
 
< 0.1%
20 5
 
< 0.1%
21 5
 
< 0.1%
22 6
 
< 0.1%
23 6
 
< 0.1%
24 33
 
0.1%
25 58
 
0.2%
26 79
0.3%
27 194
0.7%
ValueCountFrequency (%)
115 16
 
0.1%
114 18
 
0.1%
113 23
 
0.1%
112 28
 
0.1%
111 88
0.3%
110 59
 
0.2%
109 33
 
0.1%
108 35
 
0.1%
107 132
0.5%
106 169
0.6%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean30.235907
Minimum0
Maximum46
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:26.442601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q127
median30
Q333
95-th percentile38
Maximum46
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.4595333
Coefficient of variation (CV)0.1474913
Kurtosis1.6111369
Mean30.235907
Median Absolute Deviation (MAD)3
Skewness-0.15754378
Sum792211
Variance19.887437
MonotonicityNot monotonic
2025-05-05T17:37:26.505409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
32 2821
10.8%
30 2316
 
8.8%
31 2143
 
8.2%
33 2128
 
8.1%
34 1827
 
7.0%
29 1805
 
6.9%
28 1721
 
6.6%
25 1714
 
6.5%
27 1697
 
6.5%
26 1487
 
5.7%
Other values (23) 6542
25.0%
ValueCountFrequency (%)
0 24
 
0.1%
15 3
 
< 0.1%
16 3
 
< 0.1%
17 20
 
0.1%
18 23
 
0.1%
19 17
 
0.1%
20 52
 
0.2%
21 168
 
0.6%
22 460
1.8%
23 871
3.3%
ValueCountFrequency (%)
46 15
 
0.1%
45 30
 
0.1%
44 38
 
0.1%
43 48
 
0.2%
42 85
 
0.3%
41 94
 
0.4%
40 168
 
0.6%
39 275
1.0%
38 570
2.2%
37 542
2.1%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean57.487004
Minimum0
Maximum86
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:26.576259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q151
median57
Q367
95-th percentile78
Maximum86
Range86
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.693894
Coefficient of variation (CV)0.22081329
Kurtosis-0.10699615
Mean57.487004
Median Absolute Deviation (MAD)8
Skewness-0.3059388
Sum1506217
Variance161.13496
MonotonicityNot monotonic
2025-05-05T17:37:26.650432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 1297
 
4.9%
53 1164
 
4.4%
56 1100
 
4.2%
55 1034
 
3.9%
52 956
 
3.6%
59 904
 
3.4%
57 876
 
3.3%
58 832
 
3.2%
61 699
 
2.7%
60 690
 
2.6%
Other values (53) 16649
63.5%
ValueCountFrequency (%)
0 24
 
0.1%
25 10
 
< 0.1%
26 10
 
< 0.1%
27 45
 
0.2%
28 128
0.5%
29 221
0.8%
30 162
0.6%
31 164
0.6%
32 192
0.7%
33 248
0.9%
ValueCountFrequency (%)
86 4
 
< 0.1%
85 25
 
0.1%
84 31
 
0.1%
83 101
 
0.4%
82 103
 
0.4%
81 108
 
0.4%
80 152
 
0.6%
79 661
2.5%
78 399
1.5%
77 323
1.2%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean33.071791
Minimum0
Maximum52
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:26.720719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q129
median33
Q335
95-th percentile41
Maximum52
Range52
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.7402611
Coefficient of variation (CV)0.14333246
Kurtosis2.2957044
Mean33.071791
Median Absolute Deviation (MAD)3
Skewness0.26792967
Sum866514
Variance22.470075
MonotonicityNot monotonic
2025-05-05T17:37:26.795631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
34 3543
13.5%
28 3317
12.7%
29 3306
12.6%
35 3200
12.2%
30 2061
7.9%
36 1495
 
5.7%
33 1175
 
4.5%
40 1129
 
4.3%
32 1109
 
4.2%
31 1062
 
4.1%
Other values (30) 4804
18.3%
ValueCountFrequency (%)
0 24
0.1%
14 2
 
< 0.1%
15 4
 
< 0.1%
16 6
 
< 0.1%
17 3
 
< 0.1%
18 12
< 0.1%
19 11
< 0.1%
20 10
 
< 0.1%
21 14
0.1%
22 27
0.1%
ValueCountFrequency (%)
52 2
 
< 0.1%
51 3
 
< 0.1%
50 34
 
0.1%
49 47
 
0.2%
48 59
0.2%
47 97
0.4%
46 134
0.5%
45 117
0.4%
44 106
0.4%
43 100
0.4%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean49.750849
Minimum0
Maximum59
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:26.865126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q148
median50
Q353
95-th percentile54
Maximum59
Range59
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9878037
Coefficient of variation (CV)0.080155489
Kurtosis28.30953
Mean49.750849
Median Absolute Deviation (MAD)2
Skewness-3.3756182
Sum1303522
Variance15.902578
MonotonicityNot monotonic
2025-05-05T17:37:26.934458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
53 3866
14.8%
52 3257
12.4%
54 2811
10.7%
50 2551
9.7%
49 2540
9.7%
51 2500
9.5%
48 2286
8.7%
47 1707
6.5%
45 1610
6.1%
46 1597
6.1%
Other values (26) 1476
 
5.6%
ValueCountFrequency (%)
0 24
 
0.1%
25 22
 
0.1%
26 33
0.1%
27 77
0.3%
28 25
 
0.1%
29 13
 
< 0.1%
30 12
 
< 0.1%
31 9
 
< 0.1%
32 17
 
0.1%
33 10
 
< 0.1%
ValueCountFrequency (%)
59 2
 
< 0.1%
58 9
 
< 0.1%
57 39
 
0.1%
56 80
 
0.3%
55 99
 
0.4%
54 2811
10.7%
53 3866
14.8%
52 3257
12.4%
51 2500
9.5%
50 2551
9.7%

Gear Oil Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26201 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131005
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:27.000474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:27.042965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26201 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131005
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:27.081924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:27.115908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation 

Distinct42
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean55.631541
Minimum0
Maximum69
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:27.159763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q152
median55
Q361
95-th percentile66
Maximum69
Range69
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.6739178
Coefficient of variation (CV)0.11996644
Kurtosis4.5433417
Mean55.631541
Median Absolute Deviation (MAD)4
Skewness-0.89085829
Sum1457602
Variance44.541179
MonotonicityNot monotonic
2025-05-05T17:37:27.232085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
53 3154
 
12.0%
52 2096
 
8.0%
54 1837
 
7.0%
64 1480
 
5.6%
63 1464
 
5.6%
50 1228
 
4.7%
55 1213
 
4.6%
56 1100
 
4.2%
51 1062
 
4.1%
66 1015
 
3.9%
Other values (32) 10552
40.3%
ValueCountFrequency (%)
0 24
0.1%
29 9
 
< 0.1%
30 55
0.2%
31 42
0.2%
32 37
0.1%
33 31
0.1%
34 32
0.1%
35 26
0.1%
36 26
0.1%
37 27
0.1%
ValueCountFrequency (%)
69 2
 
< 0.1%
68 61
 
0.2%
67 259
 
1.0%
66 1015
3.9%
65 993
3.8%
64 1480
5.6%
63 1464
5.6%
62 986
3.8%
61 972
3.7%
60 918
3.5%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean49.098584
Minimum0
Maximum58
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:27.299498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q149
median49
Q351
95-th percentile52
Maximum58
Range58
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2311246
Coefficient of variation (CV)0.065808917
Kurtosis59.217212
Mean49.098584
Median Absolute Deviation (MAD)0
Skewness-5.5741507
Sum1286432
Variance10.440166
MonotonicityNot monotonic
2025-05-05T17:37:27.366788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
49 13886
53.0%
51 3452
 
13.2%
50 2370
 
9.0%
52 2247
 
8.6%
48 863
 
3.3%
47 582
 
2.2%
53 442
 
1.7%
46 415
 
1.6%
45 249
 
1.0%
44 247
 
0.9%
Other values (24) 1448
 
5.5%
ValueCountFrequency (%)
0 24
 
0.1%
26 1
 
< 0.1%
27 8
 
< 0.1%
28 6
 
< 0.1%
29 60
0.2%
30 36
0.1%
31 68
0.3%
32 57
0.2%
33 21
 
0.1%
34 17
 
0.1%
ValueCountFrequency (%)
58 1
 
< 0.1%
57 24
 
0.1%
56 48
 
0.2%
55 101
 
0.4%
54 242
 
0.9%
53 442
 
1.7%
52 2247
 
8.6%
51 3452
 
13.2%
50 2370
 
9.0%
49 13886
53.0%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:27.432070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:27.464865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct46
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean57.957368
Minimum0
Maximum74
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:27.510818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q152
median57
Q367
95-th percentile71
Maximum74
Range74
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0291542
Coefficient of variation (CV)0.15578958
Kurtosis0.66881064
Mean57.957368
Median Absolute Deviation (MAD)7
Skewness-0.32692002
Sum1518541
Variance81.525625
MonotonicityNot monotonic
2025-05-05T17:37:27.586894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
70 2023
 
7.7%
52 1704
 
6.5%
53 1490
 
5.7%
71 1486
 
5.7%
54 1320
 
5.0%
69 1308
 
5.0%
50 1280
 
4.9%
56 1049
 
4.0%
55 997
 
3.8%
51 916
 
3.5%
Other values (36) 12628
48.2%
ValueCountFrequency (%)
0 24
 
0.1%
30 26
 
0.1%
31 47
0.2%
32 36
0.1%
33 75
0.3%
34 28
 
0.1%
35 18
 
0.1%
36 25
 
0.1%
37 18
 
0.1%
38 27
 
0.1%
ValueCountFrequency (%)
74 7
 
< 0.1%
73 94
 
0.4%
72 342
 
1.3%
71 1486
5.7%
70 2023
7.7%
69 1308
5.0%
68 773
 
2.9%
67 723
 
2.8%
66 579
 
2.2%
65 528
 
2.0%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct51
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.41361
Minimum0
Maximum78
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:27.665242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q153
median57
Q366
95-th percentile74
Maximum78
Range78
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.3531003
Coefficient of variation (CV)0.16011851
Kurtosis0.77062538
Mean58.41361
Median Absolute Deviation (MAD)7
Skewness-0.26150403
Sum1530495
Variance87.480485
MonotonicityNot monotonic
2025-05-05T17:37:27.743719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 2408
 
9.2%
54 1715
 
6.5%
56 1708
 
6.5%
57 1087
 
4.1%
58 960
 
3.7%
74 956
 
3.6%
59 896
 
3.4%
50 860
 
3.3%
71 845
 
3.2%
49 766
 
2.9%
Other values (41) 14000
53.4%
ValueCountFrequency (%)
0 24
 
0.1%
29 3
 
< 0.1%
30 14
 
0.1%
31 56
0.2%
32 100
0.4%
33 28
 
0.1%
34 37
 
0.1%
35 15
 
0.1%
36 20
 
0.1%
37 24
 
0.1%
ValueCountFrequency (%)
78 1
 
< 0.1%
77 15
 
0.1%
76 121
 
0.5%
75 289
 
1.1%
74 956
3.6%
73 625
2.4%
72 731
2.8%
71 845
3.2%
70 736
2.8%
69 730
2.8%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation 

Distinct49
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean57.577688
Minimum0
Maximum77
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:27.822178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q154
median56
Q364
95-th percentile73
Maximum77
Range77
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.6688002
Coefficient of variation (CV)0.15055832
Kurtosis1.4143427
Mean57.577688
Median Absolute Deviation (MAD)5
Skewness-0.16667199
Sum1508593
Variance75.148096
MonotonicityNot monotonic
2025-05-05T17:37:27.899627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
54 4122
 
15.7%
55 2430
 
9.3%
56 1416
 
5.4%
57 998
 
3.8%
50 858
 
3.3%
58 848
 
3.2%
73 788
 
3.0%
51 786
 
3.0%
59 751
 
2.9%
70 686
 
2.6%
Other values (39) 12518
47.8%
ValueCountFrequency (%)
0 24
 
0.1%
30 8
 
< 0.1%
31 52
0.2%
32 96
0.4%
33 32
 
0.1%
34 36
 
0.1%
35 20
 
0.1%
36 16
 
0.1%
37 21
 
0.1%
38 22
 
0.1%
ValueCountFrequency (%)
77 1
 
< 0.1%
76 21
 
0.1%
75 128
 
0.5%
74 568
2.2%
73 788
3.0%
72 564
2.2%
71 546
2.1%
70 686
2.6%
69 641
2.4%
68 562
2.1%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation 

Distinct42
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.429564
Minimum0
Maximum71
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:27.973667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q158
median61
Q364
95-th percentile67
Maximum71
Range71
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.9530109
Coefficient of variation (CV)0.11699583
Kurtosis5.8244456
Mean59.429564
Median Absolute Deviation (MAD)3
Skewness-1.7467075
Sum1557114
Variance48.344361
MonotonicityNot monotonic
2025-05-05T17:37:28.046663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
61 4476
17.1%
60 3571
13.6%
66 2223
 
8.5%
62 2085
 
8.0%
67 1800
 
6.9%
65 1558
 
5.9%
63 1399
 
5.3%
64 1175
 
4.5%
59 754
 
2.9%
51 669
 
2.6%
Other values (32) 6491
24.8%
ValueCountFrequency (%)
0 24
0.1%
31 18
 
0.1%
32 46
0.2%
33 34
0.1%
34 58
0.2%
35 30
0.1%
36 27
0.1%
37 20
 
0.1%
38 19
 
0.1%
39 16
 
0.1%
ValueCountFrequency (%)
71 1
 
< 0.1%
70 11
 
< 0.1%
69 137
 
0.5%
68 383
 
1.5%
67 1800
6.9%
66 2223
8.5%
65 1558
5.9%
64 1175
4.5%
63 1399
5.3%
62 2085
8.0%
Distinct47
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.768635
Minimum0
Maximum75
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:28.120825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q157
median61
Q366
95-th percentile71
Maximum75
Range75
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.5611306
Coefficient of variation (CV)0.14323785
Kurtosis2.2085284
Mean59.768635
Median Absolute Deviation (MAD)5
Skewness-1.0256834
Sum1565998
Variance73.292957
MonotonicityNot monotonic
2025-05-05T17:37:28.195054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
59 2705
 
10.3%
60 2488
 
9.5%
61 2431
 
9.3%
62 1702
 
6.5%
69 1162
 
4.4%
63 1053
 
4.0%
70 1044
 
4.0%
68 970
 
3.7%
72 947
 
3.6%
65 812
 
3.1%
Other values (37) 10887
41.5%
ValueCountFrequency (%)
0 24
 
0.1%
30 2
 
< 0.1%
31 33
0.1%
32 81
0.3%
33 56
0.2%
34 45
0.2%
35 28
 
0.1%
36 23
 
0.1%
37 23
 
0.1%
38 21
 
0.1%
ValueCountFrequency (%)
75 4
 
< 0.1%
74 100
 
0.4%
73 256
 
1.0%
72 947
3.6%
71 760
2.9%
70 1044
4.0%
69 1162
4.4%
68 970
3.7%
67 800
3.1%
66 735
2.8%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean31.508339
Minimum0
Maximum46
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:28.259962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q129
median32
Q334
95-th percentile37
Maximum46
Range46
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9358037
Coefficient of variation (CV)0.12491308
Kurtosis3.6136522
Mean31.508339
Median Absolute Deviation (MAD)2
Skewness-0.41104387
Sum825550
Variance15.490551
MonotonicityNot monotonic
2025-05-05T17:37:28.320429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
34 3346
12.8%
32 2761
10.5%
33 2561
9.8%
31 2431
9.3%
35 2359
9.0%
30 2359
9.0%
29 1904
7.3%
28 1630
 
6.2%
27 1161
 
4.4%
24 1003
 
3.8%
Other values (17) 4686
17.9%
ValueCountFrequency (%)
0 24
 
0.1%
21 12
 
< 0.1%
22 23
 
0.1%
23 199
 
0.8%
24 1003
3.8%
25 853
3.3%
26 696
 
2.7%
27 1161
4.4%
28 1630
6.2%
29 1904
7.3%
ValueCountFrequency (%)
46 5
 
< 0.1%
45 46
 
0.2%
44 65
 
0.2%
43 52
 
0.2%
42 94
 
0.4%
41 128
 
0.5%
40 172
 
0.7%
39 235
 
0.9%
38 478
1.8%
37 649
2.5%

Avg. direction [°]
Real number (ℝ)

High correlation 

Distinct3272
Distinct (%)12.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean234.71932
Minimum0
Maximum359.8
Zeros27
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:28.919255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69.5
Q1137
median276.3
Q3314
95-th percentile340.2
Maximum359.8
Range359.8
Interquartile range (IQR)177

Descriptive statistics

Standard deviation94.794302
Coefficient of variation (CV)0.40386238
Kurtosis-0.94489202
Mean234.71932
Median Absolute Deviation (MAD)51.3
Skewness-0.62594279
Sum6149880.8
Variance8985.9598
MonotonicityNot monotonic
2025-05-05T17:37:28.995018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
356.3 342
 
1.3%
268.6 106
 
0.4%
130.2 104
 
0.4%
316.8 101
 
0.4%
310.4 100
 
0.4%
304.8 88
 
0.3%
311.9 87
 
0.3%
104.7 86
 
0.3%
272.8 79
 
0.3%
317.5 78
 
0.3%
Other values (3262) 25030
95.5%
ValueCountFrequency (%)
0 27
0.1%
0.1 9
 
< 0.1%
0.5 31
0.1%
0.8 1
 
< 0.1%
1.2 8
 
< 0.1%
1.5 6
 
< 0.1%
1.9 5
 
< 0.1%
2.2 1
 
< 0.1%
2.5 2
 
< 0.1%
2.7 1
 
< 0.1%
ValueCountFrequency (%)
359.8 6
< 0.1%
359.4 9
< 0.1%
359.2 1
 
< 0.1%
359.1 7
< 0.1%
358.7 2
 
< 0.1%
358.4 4
< 0.1%
358.3 1
 
< 0.1%
358.1 1
 
< 0.1%
358 7
< 0.1%
357.9 1
 
< 0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct165
Distinct (%)0.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.279566
Minimum0
Maximum19.6
Zeros1298
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:29.072207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q110.1
median12.4
Q315.7
95-th percentile16.6
Maximum19.6
Range19.6
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation5.2778101
Coefficient of variation (CV)0.46790898
Kurtosis-0.20598503
Mean11.279566
Median Absolute Deviation (MAD)3.2
Skewness-1.0139366
Sum295535.9
Variance27.855279
MonotonicityNot monotonic
2025-05-05T17:37:29.152031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1 2284
 
8.7%
15.7 1719
 
6.6%
15.8 1580
 
6.0%
0 1298
 
5.0%
10.2 1290
 
4.9%
15.9 1112
 
4.2%
15.6 632
 
2.4%
16 620
 
2.4%
10.3 506
 
1.9%
11.1 373
 
1.4%
Other values (155) 14787
56.4%
ValueCountFrequency (%)
0 1298
5.0%
0.1 284
 
1.1%
0.2 156
 
0.6%
0.3 103
 
0.4%
0.4 79
 
0.3%
0.5 79
 
0.3%
0.6 46
 
0.2%
0.7 66
 
0.3%
0.8 67
 
0.3%
0.9 64
 
0.2%
ValueCountFrequency (%)
19.6 1
 
< 0.1%
18.3 1
 
< 0.1%
18.1 4
 
< 0.1%
18 3
 
< 0.1%
17.9 4
 
< 0.1%
17.8 2
 
< 0.1%
17.7 9
 
< 0.1%
17.6 21
 
0.1%
17.5 35
0.1%
17.4 54
0.2%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct134
Distinct (%)0.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean15.006313
Minimum0
Maximum6553.5
Zeros2468
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:29.230684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.8
median9.9
Q312.4
95-th percentile15.3
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation198.04773
Coefficient of variation (CV)13.197628
Kurtosis1085.5306
Mean15.006313
Median Absolute Deviation (MAD)2.5
Skewness32.965932
Sum393180.4
Variance39222.903
MonotonicityNot monotonic
2025-05-05T17:37:29.305871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 4113
 
15.7%
0 2468
 
9.4%
9.8 1878
 
7.2%
10 1377
 
5.3%
11.9 684
 
2.6%
15.3 558
 
2.1%
15.4 511
 
1.9%
15.2 468
 
1.8%
9.7 449
 
1.7%
12 411
 
1.6%
Other values (124) 13284
50.7%
ValueCountFrequency (%)
0 2468
9.4%
0.1 125
 
0.5%
0.2 130
 
0.5%
0.3 142
 
0.5%
0.4 115
 
0.4%
0.5 95
 
0.4%
0.6 87
 
0.3%
0.7 86
 
0.3%
0.8 110
 
0.4%
0.9 110
 
0.4%
ValueCountFrequency (%)
6553.5 24
 
0.1%
15.6 60
 
0.2%
15.5 303
1.2%
15.4 511
1.9%
15.3 558
2.1%
15.2 468
1.8%
15.1 405
1.5%
15 389
1.5%
14.9 337
1.3%
14.8 287
1.1%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct158
Distinct (%)0.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.112454
Minimum0
Maximum15.7
Zeros1871
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:29.382121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.9
median10.5
Q314.8
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation5.1066373
Coefficient of variation (CV)0.50498499
Kurtosis-0.53228527
Mean10.112454
Median Absolute Deviation (MAD)3.8
Skewness-0.82029201
Sum264956.4
Variance26.077745
MonotonicityNot monotonic
2025-05-05T17:37:29.460303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 4672
 
17.8%
15.6 4129
 
15.8%
0 1871
 
7.1%
15.5 789
 
3.0%
10.1 624
 
2.4%
15.4 421
 
1.6%
10.2 408
 
1.6%
10.3 344
 
1.3%
10.4 287
 
1.1%
15.3 287
 
1.1%
Other values (148) 12369
47.2%
ValueCountFrequency (%)
0 1871
7.1%
0.1 162
 
0.6%
0.2 91
 
0.3%
0.3 90
 
0.3%
0.4 88
 
0.3%
0.5 88
 
0.3%
0.6 99
 
0.4%
0.7 68
 
0.3%
0.8 67
 
0.3%
0.9 61
 
0.2%
ValueCountFrequency (%)
15.7 9
 
< 0.1%
15.6 4129
15.8%
15.5 789
 
3.0%
15.4 421
 
1.6%
15.3 287
 
1.1%
15.2 244
 
0.9%
15.1 222
 
0.8%
15 195
 
0.7%
14.9 179
 
0.7%
14.8 188
 
0.7%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct71
Distinct (%)0.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.52806
Minimum0
Maximum7.3
Zeros7132
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:29.537902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.7
95-th percentile2.3
Maximum7.3
Range7.3
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.80537863
Coefficient of variation (CV)1.525165
Kurtosis11.819869
Mean0.52806
Median Absolute Deviation (MAD)0.2
Skewness3.0337123
Sum13835.7
Variance0.64863474
MonotonicityNot monotonic
2025-05-05T17:37:29.614146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7132
27.2%
0.1 3648
13.9%
0.2 2467
 
9.4%
0.3 1876
 
7.2%
0.4 1535
 
5.9%
0.5 1336
 
5.1%
0.6 1127
 
4.3%
0.7 1055
 
4.0%
0.8 937
 
3.6%
0.9 854
 
3.3%
Other values (61) 4234
16.2%
ValueCountFrequency (%)
0 7132
27.2%
0.1 3648
13.9%
0.2 2467
 
9.4%
0.3 1876
 
7.2%
0.4 1535
 
5.9%
0.5 1336
 
5.1%
0.6 1127
 
4.3%
0.7 1055
 
4.0%
0.8 937
 
3.6%
0.9 854
 
3.3%
ValueCountFrequency (%)
7.3 2
 
< 0.1%
7 3
< 0.1%
6.9 6
< 0.1%
6.8 5
< 0.1%
6.7 5
< 0.1%
6.6 5
< 0.1%
6.5 5
< 0.1%
6.4 4
< 0.1%
6.3 3
< 0.1%
6.2 3
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation 

Distinct357
Distinct (%)1.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.544235
Minimum0
Maximum40.5
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:29.691708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q15.4
median8.1
Q312.1
95-th percentile20.5
Maximum40.5
Range40.5
Interquartile range (IQR)6.7

Descriptive statistics

Standard deviation5.6792009
Coefficient of variation (CV)0.59503993
Kurtosis2.0958764
Mean9.544235
Median Absolute Deviation (MAD)3.1
Skewness1.3489202
Sum250068.5
Variance32.253323
MonotonicityNot monotonic
2025-05-05T17:37:29.771299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.1 273
 
1.0%
7.5 272
 
1.0%
7.9 271
 
1.0%
6.8 271
 
1.0%
4.6 269
 
1.0%
7.8 267
 
1.0%
7.6 267
 
1.0%
8.2 267
 
1.0%
7.2 262
 
1.0%
4.5 260
 
1.0%
Other values (347) 23522
89.8%
ValueCountFrequency (%)
0 24
0.1%
0.7 1
 
< 0.1%
0.8 3
 
< 0.1%
0.9 3
 
< 0.1%
1 4
 
< 0.1%
1.1 8
 
< 0.1%
1.2 6
 
< 0.1%
1.3 24
0.1%
1.4 17
0.1%
1.5 25
0.1%
ValueCountFrequency (%)
40.5 1
< 0.1%
39.9 1
< 0.1%
39.3 2
< 0.1%
38.5 1
< 0.1%
38.1 1
< 0.1%
37.8 1
< 0.1%
37.4 1
< 0.1%
36.5 1
< 0.1%
36.2 2
< 0.1%
36.1 2
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation  Skewed 

Distinct174
Distinct (%)0.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.8987672
Minimum0
Maximum6553.5
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:29.849349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q11.8
median3.4
Q35.4
95-th percentile9
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation198.1575
Coefficient of variation (CV)20.018402
Kurtosis1086.5183
Mean9.8987672
Median Absolute Deviation (MAD)1.7
Skewness32.988418
Sum259357.6
Variance39266.394
MonotonicityNot monotonic
2025-05-05T17:37:29.925123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6 514
 
2.0%
1.5 496
 
1.9%
1.4 488
 
1.9%
1.1 488
 
1.9%
0.3 482
 
1.8%
1.2 476
 
1.8%
2 465
 
1.8%
3.2 457
 
1.7%
1.3 450
 
1.7%
3.3 450
 
1.7%
Other values (164) 21435
81.8%
ValueCountFrequency (%)
0 9
 
< 0.1%
0.3 482
1.8%
0.4 324
1.2%
0.5 352
1.3%
0.6 365
1.4%
0.7 345
1.3%
0.8 380
1.4%
0.9 398
1.5%
1 418
1.6%
1.1 488
1.9%
ValueCountFrequency (%)
6553.5 24
0.1%
19.1 1
 
< 0.1%
18.5 1
 
< 0.1%
17.9 1
 
< 0.1%
17.3 4
 
< 0.1%
17.2 1
 
< 0.1%
17 2
 
< 0.1%
16.8 1
 
< 0.1%
16.7 1
 
< 0.1%
16.6 3
 
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation 

Distinct268
Distinct (%)1.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.7188046
Minimum0
Maximum28.5
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:30.000280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q13.6
median5.7
Q38.7
95-th percentile15.1
Maximum28.5
Range28.5
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation4.2907848
Coefficient of variation (CV)0.63862325
Kurtosis2.2633788
Mean6.7188046
Median Absolute Deviation (MAD)2.4
Skewness1.3888675
Sum176039.4
Variance18.410835
MonotonicityNot monotonic
2025-05-05T17:37:30.073649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.1 404
 
1.5%
4 394
 
1.5%
4.3 369
 
1.4%
3 366
 
1.4%
4.2 363
 
1.4%
3.9 362
 
1.4%
3.7 357
 
1.4%
3.4 350
 
1.3%
2.8 347
 
1.3%
3.6 339
 
1.3%
Other values (258) 22550
86.0%
ValueCountFrequency (%)
0 24
 
0.1%
0.4 8
 
< 0.1%
0.5 17
 
0.1%
0.6 32
 
0.1%
0.7 33
 
0.1%
0.8 52
0.2%
0.9 58
0.2%
1 71
0.3%
1.1 86
0.3%
1.2 99
0.4%
ValueCountFrequency (%)
28.5 2
< 0.1%
27.9 1
< 0.1%
27.6 1
< 0.1%
27.4 1
< 0.1%
26.9 1
< 0.1%
26.8 1
< 0.1%
26.6 2
< 0.1%
26.5 1
< 0.1%
26.4 2
< 0.1%
26.3 2
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation 

Distinct53
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.88176405
Minimum0
Maximum5.6
Zeros59
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:30.146077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.7
Q31.1
95-th percentile2.1
Maximum5.6
Range5.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.62632537
Coefficient of variation (CV)0.71030948
Kurtosis4.1528255
Mean0.88176405
Median Absolute Deviation (MAD)0.3
Skewness1.7306871
Sum23103.1
Variance0.39228347
MonotonicityNot monotonic
2025-05-05T17:37:30.349571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 2723
 
10.4%
0.6 2704
 
10.3%
0.4 2577
 
9.8%
0.7 2270
 
8.7%
0.3 2008
 
7.7%
0.8 1865
 
7.1%
0.9 1511
 
5.8%
0.2 1378
 
5.3%
1 1270
 
4.8%
1.1 994
 
3.8%
Other values (43) 6901
26.3%
ValueCountFrequency (%)
0 59
 
0.2%
0.1 427
 
1.6%
0.2 1378
5.3%
0.3 2008
7.7%
0.4 2577
9.8%
0.5 2723
10.4%
0.6 2704
10.3%
0.7 2270
8.7%
0.8 1865
7.1%
0.9 1511
5.8%
ValueCountFrequency (%)
5.6 1
 
< 0.1%
5.1 1
 
< 0.1%
5 1
 
< 0.1%
4.9 2
< 0.1%
4.8 2
< 0.1%
4.7 2
< 0.1%
4.6 3
< 0.1%
4.5 3
< 0.1%
4.4 1
 
< 0.1%
4.3 4
< 0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation 

Distinct2073
Distinct (%)7.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-3.8376054
Minimum-180
Maximum179.6
Zeros110
Zeros (%)0.4%
Negative22530
Negative (%)86.0%
Memory size1.4 MiB
2025-05-05T17:37:30.423007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-180
5-th percentile-33.5
Q1-5
median-3.3
Q3-1.6
95-th percentile19.3
Maximum179.6
Range359.6
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation27.573615
Coefficient of variation (CV)-7.1851094
Kurtosis17.771213
Mean-3.8376054
Median Absolute Deviation (MAD)1.7
Skewness-0.20437829
Sum-100549.1
Variance760.30424
MonotonicityNot monotonic
2025-05-05T17:37:30.497161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.3 478
 
1.8%
-3.4 470
 
1.8%
-2.6 469
 
1.8%
-3 468
 
1.8%
-3.2 456
 
1.7%
-3.1 453
 
1.7%
-3.6 445
 
1.7%
-3.5 439
 
1.7%
-2.7 437
 
1.7%
-2.8 436
 
1.7%
Other values (2063) 21650
82.6%
ValueCountFrequency (%)
-180 1
< 0.1%
-179.4 1
< 0.1%
-179.3 1
< 0.1%
-179.2 1
< 0.1%
-179.1 1
< 0.1%
-179 1
< 0.1%
-178.9 2
< 0.1%
-178.3 2
< 0.1%
-178 1
< 0.1%
-177.8 1
< 0.1%
ValueCountFrequency (%)
179.6 1
< 0.1%
179.5 1
< 0.1%
178.8 1
< 0.1%
178.7 1
< 0.1%
178.6 2
< 0.1%
178.4 1
< 0.1%
177.4 1
< 0.1%
177.3 1
< 0.1%
177.2 1
< 0.1%
176.7 1
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation 

Distinct3478
Distinct (%)13.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean229.2559
Minimum0
Maximum359.9
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:30.571457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49.9
Q1130.9
median273.8
Q3310.6
95-th percentile336.9
Maximum359.9
Range359.9
Interquartile range (IQR)179.7

Descriptive statistics

Standard deviation97.438097
Coefficient of variation (CV)0.42501892
Kurtosis-0.97329751
Mean229.2559
Median Absolute Deviation (MAD)51.8
Skewness-0.62157255
Sum6006733.9
Variance9494.1828
MonotonicityNot monotonic
2025-05-05T17:37:30.648109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
308 47
 
0.2%
310.8 47
 
0.2%
309.8 44
 
0.2%
310.3 43
 
0.2%
312.1 42
 
0.2%
309.4 42
 
0.2%
310.6 42
 
0.2%
308.8 42
 
0.2%
307.2 42
 
0.2%
307.3 41
 
0.2%
Other values (3468) 25769
98.3%
ValueCountFrequency (%)
0 5
< 0.1%
0.1 3
< 0.1%
0.2 3
< 0.1%
0.3 3
< 0.1%
0.4 6
< 0.1%
0.5 1
 
< 0.1%
0.6 5
< 0.1%
0.7 4
< 0.1%
0.8 4
< 0.1%
0.9 5
< 0.1%
ValueCountFrequency (%)
359.9 4
< 0.1%
359.8 7
< 0.1%
359.7 2
 
< 0.1%
359.6 3
< 0.1%
359.5 1
 
< 0.1%
359.3 7
< 0.1%
359.2 5
< 0.1%
359.1 5
< 0.1%
358.9 4
< 0.1%
358.8 4
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean13.804091
Minimum0
Maximum33
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:30.717144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median13
Q316
95-th percentile24
Maximum33
Range33
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0619875
Coefficient of variation (CV)0.36670197
Kurtosis0.943308
Mean13.804091
Median Absolute Deviation (MAD)3
Skewness0.87421308
Sum361681
Variance25.623718
MonotonicityNot monotonic
2025-05-05T17:37:30.781174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
14 2413
 
9.2%
12 2399
 
9.2%
10 2318
 
8.8%
11 2225
 
8.5%
13 2107
 
8.0%
9 1966
 
7.5%
16 1819
 
6.9%
15 1572
 
6.0%
17 1400
 
5.3%
8 1223
 
4.7%
Other values (23) 6759
25.8%
ValueCountFrequency (%)
0 24
 
0.1%
2 1
 
< 0.1%
3 42
 
0.2%
4 114
 
0.4%
5 334
 
1.3%
6 370
 
1.4%
7 848
 
3.2%
8 1223
4.7%
9 1966
7.5%
10 2318
8.8%
ValueCountFrequency (%)
33 1
 
< 0.1%
32 28
 
0.1%
31 83
 
0.3%
30 124
0.5%
29 160
0.6%
28 155
0.6%
27 215
0.8%
26 115
0.4%
25 272
1.0%
24 205
0.8%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:30.844829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:30.877388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct37
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.992061
Minimum0
Maximum64
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:30.920021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q134
median39
Q342
95-th percentile52
Maximum64
Range64
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.4575784
Coefficient of variation (CV)0.16561264
Kurtosis1.3746318
Mean38.992061
Median Absolute Deviation (MAD)4
Skewness0.61149382
Sum1021631
Variance41.700319
MonotonicityNot monotonic
2025-05-05T17:37:30.985359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
40 2298
 
8.8%
41 2064
 
7.9%
32 2016
 
7.7%
33 1910
 
7.3%
39 1815
 
6.9%
42 1601
 
6.1%
36 1442
 
5.5%
35 1432
 
5.5%
31 1378
 
5.3%
34 1331
 
5.1%
Other values (27) 8914
34.0%
ValueCountFrequency (%)
0 24
 
0.1%
29 248
 
0.9%
30 544
 
2.1%
31 1378
5.3%
32 2016
7.7%
33 1910
7.3%
34 1331
5.1%
35 1432
5.5%
36 1442
5.5%
37 1295
4.9%
ValueCountFrequency (%)
64 1
 
< 0.1%
63 1
 
< 0.1%
62 3
 
< 0.1%
61 14
 
0.1%
60 47
0.2%
59 67
0.3%
58 76
0.3%
57 89
0.3%
56 113
0.4%
55 88
0.3%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct37
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.617915
Minimum0
Maximum64
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:31.051647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q133
median38
Q342
95-th percentile52
Maximum64
Range64
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.7516465
Coefficient of variation (CV)0.17483198
Kurtosis1.0446737
Mean38.617915
Median Absolute Deviation (MAD)4
Skewness0.68896901
Sum1011828
Variance45.584731
MonotonicityNot monotonic
2025-05-05T17:37:31.117893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
32 2554
 
9.7%
33 2148
 
8.2%
40 1960
 
7.5%
41 1892
 
7.2%
34 1619
 
6.2%
31 1581
 
6.0%
39 1567
 
6.0%
35 1421
 
5.4%
38 1279
 
4.9%
42 1170
 
4.5%
Other values (27) 9010
34.4%
ValueCountFrequency (%)
0 24
 
0.1%
29 326
 
1.2%
30 784
 
3.0%
31 1581
6.0%
32 2554
9.7%
33 2148
8.2%
34 1619
6.2%
35 1421
5.4%
36 1066
4.1%
37 1142
4.4%
ValueCountFrequency (%)
64 1
 
< 0.1%
63 1
 
< 0.1%
62 3
 
< 0.1%
61 20
 
0.1%
60 44
 
0.2%
59 69
0.3%
58 77
0.3%
57 123
0.5%
56 97
0.4%
55 85
0.3%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.692531
Minimum0
Maximum63
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:31.182359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q133
median38
Q342
95-th percentile51
Maximum63
Range63
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.4455826
Coefficient of variation (CV)0.16658467
Kurtosis1.1806878
Mean38.692531
Median Absolute Deviation (MAD)4
Skewness0.62582506
Sum1013783
Variance41.545535
MonotonicityNot monotonic
2025-05-05T17:37:31.248948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
33 2643
 
10.1%
32 2338
 
8.9%
41 1990
 
7.6%
40 1979
 
7.6%
34 1907
 
7.3%
39 1506
 
5.7%
42 1364
 
5.2%
35 1356
 
5.2%
31 1341
 
5.1%
38 1278
 
4.9%
Other values (26) 8499
32.4%
ValueCountFrequency (%)
0 24
 
0.1%
29 218
 
0.8%
30 374
 
1.4%
31 1341
5.1%
32 2338
8.9%
33 2643
10.1%
34 1907
7.3%
35 1356
5.2%
36 1131
4.3%
37 1127
4.3%
ValueCountFrequency (%)
63 1
 
< 0.1%
62 1
 
< 0.1%
61 6
 
< 0.1%
60 22
 
0.1%
59 49
0.2%
58 79
0.3%
57 80
0.3%
56 122
0.5%
55 94
0.4%
54 99
0.4%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.219915
Minimum0
Maximum59
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:31.313436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q131
median36
Q339
95-th percentile48
Maximum59
Range59
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.0542864
Coefficient of variation (CV)0.16715352
Kurtosis1.2082229
Mean36.219915
Median Absolute Deviation (MAD)4
Skewness0.66016735
Sum948998
Variance36.654384
MonotonicityNot monotonic
2025-05-05T17:37:31.376401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
31 2736
 
10.4%
30 2514
 
9.6%
29 2219
 
8.5%
38 2207
 
8.4%
37 2000
 
7.6%
32 1845
 
7.0%
39 1641
 
6.3%
36 1440
 
5.5%
33 1296
 
4.9%
35 1190
 
4.5%
Other values (22) 7113
27.1%
ValueCountFrequency (%)
0 24
 
0.1%
29 2219
8.5%
30 2514
9.6%
31 2736
10.4%
32 1845
7.0%
33 1296
4.9%
34 1116
4.3%
35 1190
4.5%
36 1440
5.5%
37 2000
7.6%
ValueCountFrequency (%)
59 2
 
< 0.1%
58 1
 
< 0.1%
57 15
 
0.1%
56 35
 
0.1%
55 76
 
0.3%
54 70
 
0.3%
53 119
0.5%
52 110
0.4%
51 97
0.4%
50 241
0.9%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct12141
Distinct (%)46.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean689.47943
Minimum-30.8
Maximum3001.3
Zeros51
Zeros (%)0.2%
Negative5644
Negative (%)21.5%
Memory size1.4 MiB
2025-05-05T17:37:31.448289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-30.8
5-th percentile-13.9
Q127.1
median290.4
Q31020.7
95-th percentile2825.2
Maximum3001.3
Range3032.1
Interquartile range (IQR)993.6

Descriptive statistics

Standard deviation884.53866
Coefficient of variation (CV)1.282908
Kurtosis0.64846764
Mean689.47943
Median Absolute Deviation (MAD)303.3
Skewness1.3614925
Sum18065051
Variance782408.64
MonotonicityNot monotonic
2025-05-05T17:37:31.651590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13.4 308
 
1.2%
-13.3 296
 
1.1%
-13.2 282
 
1.1%
-13.6 271
 
1.0%
-13 262
 
1.0%
-13.5 257
 
1.0%
-13.7 252
 
1.0%
-13.9 234
 
0.9%
-13.1 233
 
0.9%
-13.8 227
 
0.9%
Other values (12131) 23579
90.0%
ValueCountFrequency (%)
-30.8 1
 
< 0.1%
-27.7 1
 
< 0.1%
-20.3 1
 
< 0.1%
-17.9 1
 
< 0.1%
-17.8 1
 
< 0.1%
-17.5 2
< 0.1%
-17.1 3
< 0.1%
-17 3
< 0.1%
-16.9 3
< 0.1%
-16.8 2
< 0.1%
ValueCountFrequency (%)
3001.3 1
 
< 0.1%
3000.8 1
 
< 0.1%
3000.6 8
 
< 0.1%
3000.5 37
0.1%
3000.4 72
0.3%
3000.3 29
0.1%
3000.2 22
 
0.1%
3000.1 18
 
0.1%
3000 13
 
< 0.1%
2999.9 12
 
< 0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.8933056
Minimum0
Maximum1
Zeros152
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:31.713451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q10.8
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.20114233
Coefficient of variation (CV)0.22516631
Kurtosis4.4912751
Mean0.8933056
Median Absolute Deviation (MAD)0
Skewness-2.1493196
Sum23405.5
Variance0.040458237
MonotonicityNot monotonic
2025-05-05T17:37:31.768243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 18583
70.9%
0.7 3559
 
13.6%
0.8 1078
 
4.1%
0.9 721
 
2.8%
0.4 650
 
2.5%
0.6 418
 
1.6%
0.3 353
 
1.3%
0.5 283
 
1.1%
0.2 213
 
0.8%
0.1 191
 
0.7%
ValueCountFrequency (%)
0 152
 
0.6%
0.1 191
 
0.7%
0.2 213
 
0.8%
0.3 353
 
1.3%
0.4 650
 
2.5%
0.5 283
 
1.1%
0.6 418
 
1.6%
0.7 3559
13.6%
0.8 1078
 
4.1%
0.9 721
 
2.8%
ValueCountFrequency (%)
1 18583
70.9%
0.9 721
 
2.8%
0.8 1078
 
4.1%
0.7 3559
 
13.6%
0.6 418
 
1.6%
0.5 283
 
1.1%
0.4 650
 
2.5%
0.3 353
 
1.3%
0.2 213
 
0.8%
0.1 191
 
0.7%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
50.0
26051 
49.9
 
121
0.0
 
24
50.1
 
5

Length

Max length4
Median length4
Mean length3.999084
Min length3

Characters and Unicode

Total characters104780
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 26051
99.4%
49.9 121
 
0.5%
0.0 24
 
0.1%
50.1 5
 
< 0.1%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:31.829784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:31.870699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 26051
99.4%
49.9 121
 
0.5%
0.0 24
 
0.1%
50.1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 52155
49.8%
. 26201
25.0%
5 26056
24.9%
9 242
 
0.2%
4 121
 
0.1%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104780
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52155
49.8%
. 26201
25.0%
5 26056
24.9%
9 242
 
0.2%
4 121
 
0.1%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104780
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52155
49.8%
. 26201
25.0%
5 26056
24.9%
9 242
 
0.2%
4 121
 
0.1%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104780
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52155
49.8%
. 26201
25.0%
5 26056
24.9%
9 242
 
0.2%
4 121
 
0.1%
1 5
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation 

Distinct399
Distinct (%)1.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean573.24773
Minimum0
Maximum602.5
Zeros66
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:31.929232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile565.5
Q1570.4
median574.7
Q3578.5
95-th percentile585
Maximum602.5
Range602.5
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation30.284605
Coefficient of variation (CV)0.052829873
Kurtosis335.60219
Mean573.24773
Median Absolute Deviation (MAD)4
Skewness-17.976558
Sum15019664
Variance917.1573
MonotonicityNot monotonic
2025-05-05T17:37:32.009441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577.1 197
 
0.8%
578.2 194
 
0.7%
575.3 187
 
0.7%
575.9 186
 
0.7%
574.9 186
 
0.7%
577.2 185
 
0.7%
574.1 185
 
0.7%
575.1 185
 
0.7%
575 185
 
0.7%
575.2 184
 
0.7%
Other values (389) 24327
92.8%
ValueCountFrequency (%)
0 66
0.3%
1.4 1
 
< 0.1%
15.7 1
 
< 0.1%
91.7 1
 
< 0.1%
112.6 1
 
< 0.1%
175 1
 
< 0.1%
299.9 1
 
< 0.1%
438.7 1
 
< 0.1%
561.6 2
 
< 0.1%
561.8 5
 
< 0.1%
ValueCountFrequency (%)
602.5 1
< 0.1%
602.3 2
< 0.1%
601.8 1
< 0.1%
601.6 1
< 0.1%
601.5 1
< 0.1%
601.3 1
< 0.1%
601.2 2
< 0.1%
601.1 1
< 0.1%
601 1
< 0.1%
600.9 1
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation 

Distinct407
Distinct (%)1.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean572.08878
Minimum0
Maximum601
Zeros66
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:32.088057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile564.4
Q1569.2
median573.4
Q3577.4
95-th percentile583.7
Maximum601
Range601
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation30.218858
Coefficient of variation (CV)0.052821973
Kurtosis335.78756
Mean572.08878
Median Absolute Deviation (MAD)4.1
Skewness-17.984207
Sum14989298
Variance913.17936
MonotonicityNot monotonic
2025-05-05T17:37:32.166598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
576.4 191
 
0.7%
576 184
 
0.7%
575.9 182
 
0.7%
575.2 180
 
0.7%
574.6 180
 
0.7%
573.9 180
 
0.7%
576.2 178
 
0.7%
572.4 177
 
0.7%
571.6 177
 
0.7%
574.4 177
 
0.7%
Other values (397) 24395
93.1%
ValueCountFrequency (%)
0 66
0.3%
1.4 1
 
< 0.1%
15.7 1
 
< 0.1%
91.8 1
 
< 0.1%
112.6 1
 
< 0.1%
175 1
 
< 0.1%
299.7 1
 
< 0.1%
438.6 1
 
< 0.1%
558.3 1
 
< 0.1%
559.5 1
 
< 0.1%
ValueCountFrequency (%)
601 1
 
< 0.1%
600.8 1
 
< 0.1%
600.7 1
 
< 0.1%
600.2 1
 
< 0.1%
600 1
 
< 0.1%
599.8 3
< 0.1%
599.7 1
 
< 0.1%
599.4 1
 
< 0.1%
599.3 3
< 0.1%
599.1 2
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation 

Distinct432
Distinct (%)1.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean570.35977
Minimum0
Maximum600.1
Zeros66
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:32.244185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile562.2
Q1567.3
median571.7
Q3575.9
95-th percentile582.3
Maximum600.1
Range600.1
Interquartile range (IQR)8.6

Descriptive statistics

Standard deviation30.179067
Coefficient of variation (CV)0.052912334
Kurtosis333.49681
Mean570.35977
Median Absolute Deviation (MAD)4.3
Skewness-17.892478
Sum14943996
Variance910.77606
MonotonicityNot monotonic
2025-05-05T17:37:32.323265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
570.9 190
 
0.7%
573.8 190
 
0.7%
571.4 188
 
0.7%
573 185
 
0.7%
571.3 181
 
0.7%
570.4 177
 
0.7%
573.2 176
 
0.7%
573.3 174
 
0.7%
572.1 173
 
0.7%
572.4 173
 
0.7%
Other values (422) 24394
93.1%
ValueCountFrequency (%)
0 66
0.3%
1.4 1
 
< 0.1%
15.6 1
 
< 0.1%
91.3 1
 
< 0.1%
112 1
 
< 0.1%
174.1 1
 
< 0.1%
298.3 1
 
< 0.1%
437.2 1
 
< 0.1%
554.9 1
 
< 0.1%
555 1
 
< 0.1%
ValueCountFrequency (%)
600.1 1
< 0.1%
599.9 1
< 0.1%
599.8 1
< 0.1%
599.6 1
< 0.1%
599 2
< 0.1%
598.9 1
< 0.1%
598.8 1
< 0.1%
598.7 1
< 0.1%
598.6 1
< 0.1%
598.5 1
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9460
Distinct (%)36.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean395.47263
Minimum0
Maximum1752.8
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:32.401685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.7
Q121.8
median163.2
Q3573.9
95-th percentile1620.2
Maximum1752.8
Range1752.8
Interquartile range (IQR)552.1

Descriptive statistics

Standard deviation501.95305
Coefficient of variation (CV)1.2692485
Kurtosis0.7458548
Mean395.47263
Median Absolute Deviation (MAD)151.4
Skewness1.3993223
Sum10361778
Variance251956.86
MonotonicityNot monotonic
2025-05-05T17:37:32.478095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.8 666
 
2.5%
10.7 525
 
2.0%
11.7 323
 
1.2%
11.8 280
 
1.1%
10.9 247
 
0.9%
11.6 203
 
0.8%
20.4 151
 
0.6%
1 134
 
0.5%
2 129
 
0.5%
11 128
 
0.5%
Other values (9450) 23415
89.3%
ValueCountFrequency (%)
0 24
 
0.1%
1 134
0.5%
1.2 4
 
< 0.1%
1.3 4
 
< 0.1%
1.4 4
 
< 0.1%
1.5 10
 
< 0.1%
1.6 31
 
0.1%
1.7 18
 
0.1%
1.8 7
 
< 0.1%
1.9 15
 
0.1%
ValueCountFrequency (%)
1752.8 1
< 0.1%
1751.9 1
< 0.1%
1751.2 2
< 0.1%
1751 1
< 0.1%
1749.8 1
< 0.1%
1749.7 1
< 0.1%
1748.6 1
< 0.1%
1747.4 1
< 0.1%
1747.1 1
< 0.1%
1747 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9660
Distinct (%)36.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean406.99066
Minimum0
Maximum1789.2
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:32.553697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.6
Q123.5
median169.1
Q3600.1
95-th percentile1646.7
Maximum1789.2
Range1789.2
Interquartile range (IQR)576.6

Descriptive statistics

Standard deviation511.85897
Coefficient of variation (CV)1.2576676
Kurtosis0.68080576
Mean406.99066
Median Absolute Deviation (MAD)157.5
Skewness1.3763515
Sum10663562
Variance261999.6
MonotonicityNot monotonic
2025-05-05T17:37:32.632404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.7 678
 
2.6%
10.8 467
 
1.8%
10.6 450
 
1.7%
1 224
 
0.9%
11.6 210
 
0.8%
11.7 183
 
0.7%
10.9 170
 
0.6%
9.8 167
 
0.6%
19.3 120
 
0.5%
11.8 120
 
0.5%
Other values (9650) 23412
89.3%
ValueCountFrequency (%)
0 24
 
0.1%
1 224
0.9%
1.1 12
 
< 0.1%
1.2 8
 
< 0.1%
1.4 2
 
< 0.1%
1.5 17
 
0.1%
1.6 7
 
< 0.1%
1.7 7
 
< 0.1%
1.8 4
 
< 0.1%
1.9 20
 
0.1%
ValueCountFrequency (%)
1789.2 1
< 0.1%
1787.9 1
< 0.1%
1787.5 1
< 0.1%
1786 1
< 0.1%
1785.7 1
< 0.1%
1783.6 1
< 0.1%
1783.5 1
< 0.1%
1783.3 1
< 0.1%
1782.7 1
< 0.1%
1781.7 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9659
Distinct (%)36.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean407.18647
Minimum0
Maximum1775.1
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:32.708236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.7
Q126.8
median172.4
Q3597.7
95-th percentile1640.5
Maximum1775.1
Range1775.1
Interquartile range (IQR)570.9

Descriptive statistics

Standard deviation508.85896
Coefficient of variation (CV)1.2496952
Kurtosis0.68405845
Mean407.18647
Median Absolute Deviation (MAD)161.6
Skewness1.3756077
Sum10668693
Variance258937.44
MonotonicityNot monotonic
2025-05-05T17:37:32.786612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7 515
 
2.0%
10.6 503
 
1.9%
9.8 429
 
1.6%
10.7 372
 
1.4%
2 306
 
1.2%
9.6 210
 
0.8%
10.5 189
 
0.7%
9.9 176
 
0.7%
10.8 172
 
0.7%
20.2 149
 
0.6%
Other values (9649) 23180
88.4%
ValueCountFrequency (%)
0 24
0.1%
1 3
 
< 0.1%
1.1 5
 
< 0.1%
1.2 2
 
< 0.1%
1.3 2
 
< 0.1%
1.4 3
 
< 0.1%
1.5 1
 
< 0.1%
1.6 2
 
< 0.1%
1.7 1
 
< 0.1%
1.8 7
 
< 0.1%
ValueCountFrequency (%)
1775.1 1
< 0.1%
1774.4 2
< 0.1%
1771.9 1
< 0.1%
1769.4 1
< 0.1%
1769.2 2
< 0.1%
1769 1
< 0.1%
1768.9 2
< 0.1%
1768.8 1
< 0.1%
1768.6 1
< 0.1%
1768.2 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation 

Distinct12317
Distinct (%)47.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean945.44037
Minimum-3276.8
Maximum3199.5
Zeros52
Zeros (%)0.2%
Negative5013
Negative (%)19.1%
Memory size1.4 MiB
2025-05-05T17:37:32.860886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-12.1
Q1143.2
median501.7
Q31538.1
95-th percentile3152.5
Maximum3199.5
Range6476.3
Interquartile range (IQR)1394.9

Descriptive statistics

Standard deviation1051.2552
Coefficient of variation (CV)1.1119212
Kurtosis-0.14024579
Mean945.44037
Median Absolute Deviation (MAD)512.6
Skewness0.94868838
Sum24771483
Variance1105137.6
MonotonicityNot monotonic
2025-05-05T17:37:32.936417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.7 345
 
1.3%
-11.6 300
 
1.1%
-11.5 291
 
1.1%
-11.8 291
 
1.1%
-11.4 270
 
1.0%
-11.3 265
 
1.0%
-11.9 262
 
1.0%
-12 247
 
0.9%
-11.2 216
 
0.8%
-12.1 197
 
0.8%
Other values (12307) 23517
89.7%
ValueCountFrequency (%)
-3276.8 24
0.1%
-15.9 1
 
< 0.1%
-15.8 1
 
< 0.1%
-15.7 1
 
< 0.1%
-15.3 1
 
< 0.1%
-15.1 1
 
< 0.1%
-14.6 1
 
< 0.1%
-14.3 2
 
< 0.1%
-14.2 2
 
< 0.1%
-14.1 2
 
< 0.1%
ValueCountFrequency (%)
3199.5 1
< 0.1%
3195.8 1
< 0.1%
3184.9 1
< 0.1%
3180.1 1
< 0.1%
3175.4 1
< 0.1%
3173.8 1
< 0.1%
3173.4 1
< 0.1%
3172.9 1
< 0.1%
3172.6 1
< 0.1%
3172.5 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation 

Distinct10294
Distinct (%)39.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean398.01303
Minimum-102.5
Maximum3276.7
Zeros48
Zeros (%)0.2%
Negative9485
Negative (%)36.2%
Memory size1.4 MiB
2025-05-05T17:37:33.150434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-102.5
5-th percentile-50.1
Q1-29.8
median92.4
Q3491.3
95-th percentile1986.7
Maximum3276.7
Range3379.2
Interquartile range (IQR)521.1

Descriptive statistics

Standard deviation663.98388
Coefficient of variation (CV)1.6682466
Kurtosis2.8520343
Mean398.01303
Median Absolute Deviation (MAD)124.5
Skewness1.8836298
Sum10428340
Variance440874.6
MonotonicityNot monotonic
2025-05-05T17:37:33.224900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-29.9 254
 
1.0%
-30.3 249
 
1.0%
-29.8 241
 
0.9%
-30.2 235
 
0.9%
-30.1 234
 
0.9%
-30 208
 
0.8%
-29.7 206
 
0.8%
-30.4 197
 
0.8%
-30.8 189
 
0.7%
-30.5 186
 
0.7%
Other values (10284) 24002
91.6%
ValueCountFrequency (%)
-102.5 1
 
< 0.1%
-102.4 1
 
< 0.1%
-102.3 1
 
< 0.1%
-102.2 3
< 0.1%
-102.1 1
 
< 0.1%
-102 3
< 0.1%
-101.8 2
< 0.1%
-101.7 4
< 0.1%
-101.6 2
< 0.1%
-101.5 2
< 0.1%
ValueCountFrequency (%)
3276.7 24
0.1%
2993.5 1
 
< 0.1%
2993.3 1
 
< 0.1%
2992.6 1
 
< 0.1%
2992.4 1
 
< 0.1%
2992.2 1
 
< 0.1%
2991.6 1
 
< 0.1%
2991.4 1
 
< 0.1%
2991.3 2
 
< 0.1%
2990.8 1
 
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean32.931033
Minimum0
Maximum52
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:33.294119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q131
median33
Q335
95-th percentile40
Maximum52
Range52
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.0620586
Coefficient of variation (CV)0.12335047
Kurtosis5.2232274
Mean32.931033
Median Absolute Deviation (MAD)2
Skewness0.31935845
Sum862826
Variance16.50032
MonotonicityNot monotonic
2025-05-05T17:37:33.361732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
32 4134
15.8%
33 3813
14.5%
34 2825
10.8%
31 2697
10.3%
30 1712
 
6.5%
29 1406
 
5.4%
35 1401
 
5.3%
36 1286
 
4.9%
28 1261
 
4.8%
27 904
 
3.4%
Other values (22) 4762
18.2%
ValueCountFrequency (%)
0 24
 
0.1%
22 5
 
< 0.1%
23 24
 
0.1%
24 99
 
0.4%
25 230
 
0.9%
26 413
 
1.6%
27 904
3.4%
28 1261
4.8%
29 1406
5.4%
30 1712
6.5%
ValueCountFrequency (%)
52 8
 
< 0.1%
51 21
 
0.1%
50 36
 
0.1%
49 30
 
0.1%
48 33
 
0.1%
47 46
0.2%
46 75
0.3%
45 80
0.3%
44 109
0.4%
43 107
0.4%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation 

Distinct4497
Distinct (%)17.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean114.07521
Minimum0
Maximum1502.4
Zeros243
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:33.433700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.4
Q119.2
median65.2
Q3168.1
95-th percentile370
Maximum1502.4
Range1502.4
Interquartile range (IQR)148.9

Descriptive statistics

Standard deviation138.15489
Coefficient of variation (CV)1.211086
Kurtosis16.801817
Mean114.07521
Median Absolute Deviation (MAD)61.4
Skewness2.9199395
Sum2988884.7
Variance19086.775
MonotonicityNot monotonic
2025-05-05T17:37:33.510362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.6 1091
 
4.2%
3.5 949
 
3.6%
3.7 843
 
3.2%
3.4 505
 
1.9%
3.8 421
 
1.6%
0 243
 
0.9%
3.9 201
 
0.8%
3.3 161
 
0.6%
0.1 160
 
0.6%
4 117
 
0.4%
Other values (4487) 21510
82.1%
ValueCountFrequency (%)
0 243
0.9%
0.1 160
0.6%
0.2 26
 
0.1%
0.3 8
 
< 0.1%
0.4 3
 
< 0.1%
0.5 10
 
< 0.1%
0.6 7
 
< 0.1%
0.7 3
 
< 0.1%
0.8 7
 
< 0.1%
0.9 3
 
< 0.1%
ValueCountFrequency (%)
1502.4 1
< 0.1%
1502.3 1
< 0.1%
1486.7 1
< 0.1%
1482.2 1
< 0.1%
1470.6 1
< 0.1%
1469.6 1
< 0.1%
1469.3 1
< 0.1%
1468.3 1
< 0.1%
1462.6 1
< 0.1%
1460.1 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct458
Distinct (%)1.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.78653868
Minimum-20.1
Maximum46.9
Zeros17963
Zeros (%)68.5%
Negative4792
Negative (%)18.3%
Memory size1.4 MiB
2025-05-05T17:37:33.586901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-20.1
5-th percentile-11.9
Q10
median0
Q30
95-th percentile3.4
Maximum46.9
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.9135847
Coefficient of variation (CV)-8.7898852
Kurtosis11.614343
Mean-0.78653868
Median Absolute Deviation (MAD)0
Skewness2.2028482
Sum-20608.1
Variance47.797654
MonotonicityNot monotonic
2025-05-05T17:37:33.663338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17963
68.5%
0.6 352
 
1.3%
0.5 211
 
0.8%
1.4 156
 
0.6%
-11.6 151
 
0.6%
-11.5 151
 
0.6%
-11.3 147
 
0.6%
0.4 146
 
0.6%
-10.9 143
 
0.5%
-10.8 143
 
0.5%
Other values (448) 6638
 
25.3%
ValueCountFrequency (%)
-20.1 1
< 0.1%
-19.6 1
< 0.1%
-18.9 1
< 0.1%
-18.5 1
< 0.1%
-18.2 1
< 0.1%
-17.9 1
< 0.1%
-17.6 2
< 0.1%
-17.2 1
< 0.1%
-17.1 2
< 0.1%
-17 2
< 0.1%
ValueCountFrequency (%)
46.9 2
 
< 0.1%
46.8 3
< 0.1%
45.7 1
 
< 0.1%
45.6 1
 
< 0.1%
45.5 3
< 0.1%
45.4 5
< 0.1%
45.2 1
 
< 0.1%
45.1 2
 
< 0.1%
45 2
 
< 0.1%
44.6 1
 
< 0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation 

Distinct335
Distinct (%)1.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.9695546
Minimum-19.2
Maximum47.7
Zeros73
Zeros (%)0.3%
Negative3811
Negative (%)14.5%
Memory size1.4 MiB
2025-05-05T17:37:33.738757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-19.2
5-th percentile-11.3
Q10.2
median0.6
Q32.1
95-th percentile32.6
Maximum47.7
Range66.9
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation12.568279
Coefficient of variation (CV)3.1661685
Kurtosis1.1716058
Mean3.9695546
Median Absolute Deviation (MAD)0.9
Skewness1.4384136
Sum104006.3
Variance157.96163
MonotonicityNot monotonic
2025-05-05T17:37:33.818143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 3024
 
11.5%
0.2 2037
 
7.8%
0.5 1359
 
5.2%
0.7 1222
 
4.7%
0.4 1010
 
3.9%
0.1 970
 
3.7%
0.3 858
 
3.3%
0.8 511
 
1.9%
1.5 481
 
1.8%
2 411
 
1.6%
Other values (325) 14318
54.6%
ValueCountFrequency (%)
-19.2 2
< 0.1%
-17.3 1
< 0.1%
-17.1 1
< 0.1%
-17 1
< 0.1%
-15.9 1
< 0.1%
-15.8 1
< 0.1%
-15.5 1
< 0.1%
-15.4 1
< 0.1%
-15.3 1
< 0.1%
-15 2
< 0.1%
ValueCountFrequency (%)
47.7 1
 
< 0.1%
47.4 1
 
< 0.1%
47.1 4
< 0.1%
47 3
< 0.1%
46.9 1
 
< 0.1%
46.8 2
< 0.1%
46.5 1
 
< 0.1%
46.3 1
 
< 0.1%
46 1
 
< 0.1%
45.8 3
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation 

Distinct592
Distinct (%)2.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-4.8183543
Minimum-85
Maximum46.8
Zeros76
Zeros (%)0.3%
Negative25166
Negative (%)96.0%
Memory size1.4 MiB
2025-05-05T17:37:33.897498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-85
5-th percentile-22
Q1-4.6
median-1.1
Q3-0.6
95-th percentile-0.3
Maximum46.8
Range131.8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.3465367
Coefficient of variation (CV)-1.9397778
Kurtosis4.727786
Mean-4.8183543
Median Absolute Deviation (MAD)0.8
Skewness-0.417626
Sum-126245.7
Variance87.357748
MonotonicityNot monotonic
2025-05-05T17:37:33.974697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7 3142
 
12.0%
-0.3 3003
 
11.5%
-0.6 2131
 
8.1%
-0.5 1044
 
4.0%
-0.4 917
 
3.5%
-0.8 782
 
3.0%
-0.9 470
 
1.8%
-1 381
 
1.5%
-3.1 290
 
1.1%
-3.3 285
 
1.1%
Other values (582) 13756
52.5%
ValueCountFrequency (%)
-85 1
< 0.1%
-63.5 1
< 0.1%
-60.5 1
< 0.1%
-58.4 1
< 0.1%
-57.8 1
< 0.1%
-56.8 1
< 0.1%
-56.2 1
< 0.1%
-55.8 1
< 0.1%
-54.3 1
< 0.1%
-53.5 1
< 0.1%
ValueCountFrequency (%)
46.8 2
< 0.1%
46.7 1
 
< 0.1%
46.6 1
 
< 0.1%
46.5 1
 
< 0.1%
45.4 3
< 0.1%
45.3 3
< 0.1%
45.2 1
 
< 0.1%
45 1
 
< 0.1%
44.6 2
< 0.1%
44.5 1
 
< 0.1%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct208
Distinct (%)0.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.5946071
Minimum0
Maximum23
Zeros10042
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:34.050944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.7
95-th percentile12.1
Maximum23
Range23
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation3.713157
Coefficient of variation (CV)2.3285717
Kurtosis7.446596
Mean1.5946071
Median Absolute Deviation (MAD)0.2
Skewness2.8805037
Sum41780.3
Variance13.787535
MonotonicityNot monotonic
2025-05-05T17:37:34.128632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10042
38.3%
0.7 2232
 
8.5%
0.3 1916
 
7.3%
0.4 1680
 
6.4%
0.1 1669
 
6.4%
0.2 1587
 
6.1%
0.6 980
 
3.7%
0.5 930
 
3.5%
0.8 453
 
1.7%
0.9 259
 
1.0%
Other values (198) 4453
17.0%
ValueCountFrequency (%)
0 10042
38.3%
0.1 1669
 
6.4%
0.2 1587
 
6.1%
0.3 1916
 
7.3%
0.4 1680
 
6.4%
0.5 930
 
3.5%
0.6 980
 
3.7%
0.7 2232
 
8.5%
0.8 453
 
1.7%
0.9 259
 
1.0%
ValueCountFrequency (%)
23 1
 
< 0.1%
22.5 1
 
< 0.1%
21.3 1
 
< 0.1%
20.4 1
 
< 0.1%
20.3 1
 
< 0.1%
20.2 2
< 0.1%
20.1 1
 
< 0.1%
20 4
< 0.1%
19.9 3
< 0.1%
19.8 2
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2874
Distinct (%)11.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean732.2374
Minimum-1
Maximum3001
Zeros3466
Zeros (%)13.2%
Negative2
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:37:34.204502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q152
median312
Q31086
95-th percentile2913
Maximum3001
Range3002
Interquartile range (IQR)1034

Descriptive statistics

Standard deviation913.31669
Coefficient of variation (CV)1.2472959
Kurtosis0.46579224
Mean732.2374
Median Absolute Deviation (MAD)304
Skewness1.3227537
Sum19185352
Variance834147.38
MonotonicityNot monotonic
2025-05-05T17:37:34.280612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3466
 
13.2%
3000 346
 
1.3%
23 170
 
0.6%
24 141
 
0.5%
26 134
 
0.5%
22 111
 
0.4%
34 102
 
0.4%
46 81
 
0.3%
2999 78
 
0.3%
25 78
 
0.3%
Other values (2864) 21494
82.0%
ValueCountFrequency (%)
-1 2
 
< 0.1%
0 3466
13.2%
1 64
 
0.2%
2 49
 
0.2%
3 40
 
0.2%
4 45
 
0.2%
5 53
 
0.2%
6 31
 
0.1%
7 44
 
0.2%
8 48
 
0.2%
ValueCountFrequency (%)
3001 2
 
< 0.1%
3000 346
1.3%
2999 78
 
0.3%
2998 60
 
0.2%
2997 35
 
0.1%
2996 27
 
0.1%
2995 29
 
0.1%
2994 26
 
0.1%
2993 28
 
0.1%
2992 16
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2999
Distinct (%)11.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1004.4646
Minimum0
Maximum3150
Zeros3361
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:34.355213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1173
median539
Q31642
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1469

Descriptive statistics

Standard deviation1064.5419
Coefficient of variation (CV)1.0598102
Kurtosis-0.5102656
Mean1004.4646
Median Absolute Deviation (MAD)503
Skewness0.95995689
Sum26317977
Variance1133249.4
MonotonicityNot monotonic
2025-05-05T17:37:34.430123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3361
 
12.8%
3150 2271
 
8.7%
3000 421
 
1.6%
23 134
 
0.5%
24 94
 
0.4%
26 88
 
0.3%
34 65
 
0.2%
22 48
 
0.2%
201 46
 
0.2%
46 44
 
0.2%
Other values (2989) 19629
74.9%
ValueCountFrequency (%)
0 3361
12.8%
22 48
 
0.2%
23 134
 
0.5%
24 94
 
0.4%
25 22
 
0.1%
26 88
 
0.3%
27 8
 
< 0.1%
28 15
 
0.1%
29 29
 
0.1%
30 13
 
< 0.1%
ValueCountFrequency (%)
3150 2271
8.7%
3149 1
 
< 0.1%
3148 2
 
< 0.1%
3147 1
 
< 0.1%
3145 5
 
< 0.1%
3144 1
 
< 0.1%
3142 3
 
< 0.1%
3141 1
 
< 0.1%
3140 4
 
< 0.1%
3139 3
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2687
Distinct (%)10.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean428.56609
Minimum-100
Maximum3000
Zeros4076
Zeros (%)15.6%
Negative3932
Negative (%)15.0%
Memory size1.4 MiB
2025-05-05T17:37:34.505301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-52
Q10
median111
Q3526
95-th percentile2038
Maximum3000
Range3100
Interquartile range (IQR)526

Descriptive statistics

Standard deviation684.69817
Coefficient of variation (CV)1.597649
Kurtosis2.8249182
Mean428.56609
Median Absolute Deviation (MAD)124
Skewness1.8824119
Sum11228860
Variance468811.58
MonotonicityNot monotonic
2025-05-05T17:37:34.721430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4076
 
15.6%
-100 784
 
3.0%
3000 181
 
0.7%
23 170
 
0.6%
26 136
 
0.5%
24 127
 
0.5%
34 99
 
0.4%
22 93
 
0.4%
-45 77
 
0.3%
46 74
 
0.3%
Other values (2677) 20384
77.8%
ValueCountFrequency (%)
-100 784
3.0%
-99 16
 
0.1%
-98 9
 
< 0.1%
-97 9
 
< 0.1%
-96 15
 
0.1%
-95 2
 
< 0.1%
-94 8
 
< 0.1%
-93 6
 
< 0.1%
-92 9
 
< 0.1%
-91 2
 
< 0.1%
ValueCountFrequency (%)
3000 181
0.7%
2998 1
 
< 0.1%
2997 1
 
< 0.1%
2996 1
 
< 0.1%
2995 1
 
< 0.1%
2992 1
 
< 0.1%
2991 2
 
< 0.1%
2989 2
 
< 0.1%
2987 3
 
< 0.1%
2986 1
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct674
Distinct (%)2.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean114.18087
Minimum0
Maximum1189
Zeros4186
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:34.797971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median69
Q3172
95-th percentile373
Maximum1189
Range1189
Interquartile range (IQR)149

Descriptive statistics

Standard deviation125.21644
Coefficient of variation (CV)1.0966499
Kurtosis3.1494191
Mean114.18087
Median Absolute Deviation (MAD)61
Skewness1.6306255
Sum2991653
Variance15679.157
MonotonicityNot monotonic
2025-05-05T17:37:34.877678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4186
 
16.0%
33 199
 
0.8%
31 196
 
0.7%
30 192
 
0.7%
26 182
 
0.7%
36 178
 
0.7%
32 177
 
0.7%
20 176
 
0.7%
38 175
 
0.7%
28 172
 
0.7%
Other values (664) 20368
77.7%
ValueCountFrequency (%)
0 4186
16.0%
1 78
 
0.3%
2 32
 
0.1%
3 37
 
0.1%
4 45
 
0.2%
5 47
 
0.2%
6 59
 
0.2%
7 64
 
0.2%
8 84
 
0.3%
9 66
 
0.3%
ValueCountFrequency (%)
1189 1
< 0.1%
947 1
< 0.1%
916 1
< 0.1%
913 1
< 0.1%
909 1
< 0.1%
897 1
< 0.1%
870 1
< 0.1%
856 1
< 0.1%
854 1
< 0.1%
851 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:34.945867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:34.980072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.019455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.052984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.092964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.125847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.164140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.198243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.236998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.269820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.309855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.342860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.381321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.415544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.453993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.486848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Active power limit [W]
Real number (ℝ)

High correlation 

Distinct14
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2869.8954
Minimum0
Maximum3000
Zeros36
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:35.520074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation345.49701
Coefficient of variation (CV)0.12038662
Kurtosis8.522164
Mean2869.8954
Median Absolute Deviation (MAD)0
Skewness-2.7126212
Sum75194130
Variance119368.18
MonotonicityNot monotonic
2025-05-05T17:37:35.569928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3000 22466
85.7%
2000 3234
 
12.3%
2865 142
 
0.5%
2910 103
 
0.4%
2955 77
 
0.3%
2820 57
 
0.2%
0 36
 
0.1%
2775 32
 
0.1%
2730 25
 
0.1%
2685 12
 
< 0.1%
Other values (4) 17
 
0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 36
 
0.1%
2000 3234
12.3%
2505 2
 
< 0.1%
2550 4
 
< 0.1%
2595 5
 
< 0.1%
2640 6
 
< 0.1%
2685 12
 
< 0.1%
2730 25
 
0.1%
2775 32
 
0.1%
2820 57
 
0.2%
ValueCountFrequency (%)
3000 22466
85.7%
2955 77
 
0.3%
2910 103
 
0.4%
2865 142
 
0.5%
2820 57
 
0.2%
2775 32
 
0.1%
2730 25
 
0.1%
2685 12
 
< 0.1%
2640 6
 
< 0.1%
2595 5
 
< 0.1%

Active power limit source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26174 
0.0
 
27

Length

Max length4
Median length4
Mean length3.9989695
Min length3

Characters and Unicode

Total characters104777
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26174
99.9%
0.0 27
 
0.1%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.629869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.666483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26174
99.9%
0.0 27
 
0.1%

Most occurring characters

ValueCountFrequency (%)
1 52348
50.0%
0 26228
25.0%
. 26201
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104777
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52348
50.0%
0 26228
25.0%
. 26201
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104777
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52348
50.0%
0 26228
25.0%
. 26201
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104777
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52348
50.0%
0 26228
25.0%
. 26201
25.0%

Reactive power set point [var]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.707992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.742099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52402
66.7%
. 26201
33.3%

Power factor set point
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
1.0
26174 
0.0
 
27

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78603
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26174
99.9%
0.0 27
 
0.1%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.781461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.817393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26174
99.9%
0.0 27
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 26228
33.4%
. 26201
33.3%
1 26174
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 26228
33.4%
. 26201
33.3%
1 26174
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 26228
33.4%
. 26201
33.3%
1 26174
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 26228
33.4%
. 26201
33.3%
1 26174
33.3%

Power factor set point source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26174 
0.0
 
27

Length

Max length4
Median length4
Mean length3.9989695
Min length3

Characters and Unicode

Total characters104777
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26174
99.9%
0.0 27
 
0.1%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:35.862929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:35.899376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26174
99.9%
0.0 27
 
0.1%

Most occurring characters

ValueCountFrequency (%)
1 52348
50.0%
0 26228
25.0%
. 26201
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104777
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52348
50.0%
0 26228
25.0%
. 26201
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104777
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52348
50.0%
0 26228
25.0%
. 26201
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104777
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52348
50.0%
0 26228
25.0%
. 26201
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean21.290561
Minimum0
Maximum41
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:35.942697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q117
median21
Q325
95-th percentile30
Maximum41
Range41
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.1638089
Coefficient of variation (CV)0.24253982
Kurtosis0.54590687
Mean21.290561
Median Absolute Deviation (MAD)4
Skewness0.62444495
Sum557834
Variance26.664922
MonotonicityNot monotonic
2025-05-05T17:37:36.004919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
18 2401
 
9.2%
25 2279
 
8.7%
17 2223
 
8.5%
16 2121
 
8.1%
19 1908
 
7.3%
21 1810
 
6.9%
20 1474
 
5.6%
24 1447
 
5.5%
27 1338
 
5.1%
23 1326
 
5.1%
Other values (21) 7874
30.0%
ValueCountFrequency (%)
0 24
 
0.1%
12 72
 
0.3%
13 508
 
1.9%
14 913
 
3.5%
15 1267
4.8%
16 2121
8.1%
17 2223
8.5%
18 2401
9.2%
19 1908
7.3%
20 1474
5.6%
ValueCountFrequency (%)
41 23
 
0.1%
40 78
 
0.3%
39 36
 
0.1%
38 56
 
0.2%
37 44
 
0.2%
36 66
 
0.3%
35 92
0.4%
34 186
0.7%
33 219
0.8%
32 184
0.7%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct26
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean32.108584
Minimum0
Maximum46
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:36.062613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q129
median33
Q335
95-th percentile38
Maximum46
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.193798
Coefficient of variation (CV)0.13061299
Kurtosis2.6957547
Mean32.108584
Median Absolute Deviation (MAD)3
Skewness-0.45666157
Sum841277
Variance17.587942
MonotonicityNot monotonic
2025-05-05T17:37:36.122910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
34 3233
12.3%
35 2727
10.4%
36 2332
8.9%
33 2221
8.5%
32 2076
 
7.9%
31 2040
 
7.8%
30 1777
 
6.8%
29 1727
 
6.6%
28 1290
 
4.9%
27 1267
 
4.8%
Other values (16) 5511
21.0%
ValueCountFrequency (%)
0 24
 
0.1%
22 16
 
0.1%
23 213
 
0.8%
24 741
2.8%
25 1032
3.9%
26 682
 
2.6%
27 1267
4.8%
28 1290
4.9%
29 1727
6.6%
30 1777
6.8%
ValueCountFrequency (%)
46 21
 
0.1%
45 64
 
0.2%
44 49
 
0.2%
43 64
 
0.2%
42 131
 
0.5%
41 184
 
0.7%
40 262
 
1.0%
39 327
 
1.2%
38 734
2.8%
37 967
3.7%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean23.290103
Minimum0
Maximum43
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:36.185642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q119
median22
Q326
95-th percentile34
Maximum43
Range43
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4398022
Coefficient of variation (CV)0.23356711
Kurtosis0.66278336
Mean23.290103
Median Absolute Deviation (MAD)3
Skewness0.71045334
Sum610224
Variance29.591447
MonotonicityNot monotonic
2025-05-05T17:37:36.246309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
19 2350
 
9.0%
21 2289
 
8.7%
20 2125
 
8.1%
23 2049
 
7.8%
22 1698
 
6.5%
18 1696
 
6.5%
25 1684
 
6.4%
24 1543
 
5.9%
26 1309
 
5.0%
17 1185
 
4.5%
Other values (22) 8273
31.6%
ValueCountFrequency (%)
0 24
 
0.1%
13 52
 
0.2%
14 348
 
1.3%
15 517
 
2.0%
16 857
 
3.3%
17 1185
4.5%
18 1696
6.5%
19 2350
9.0%
20 2125
8.1%
21 2289
8.7%
ValueCountFrequency (%)
43 19
 
0.1%
42 65
 
0.2%
41 42
 
0.2%
40 94
 
0.4%
39 93
 
0.4%
38 69
 
0.3%
37 173
0.7%
36 272
1.0%
35 272
1.0%
34 390
1.5%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean42.771917
Minimum0
Maximum60
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:36.307907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q140
median43
Q346
95-th percentile49
Maximum60
Range60
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5850944
Coefficient of variation (CV)0.10719871
Kurtosis6.7182041
Mean42.771917
Median Absolute Deviation (MAD)3
Skewness-0.84505029
Sum1120667
Variance21.023091
MonotonicityNot monotonic
2025-05-05T17:37:36.372082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
44 2699
10.3%
45 2390
 
9.1%
43 2302
 
8.8%
42 2279
 
8.7%
46 2199
 
8.4%
47 2029
 
7.7%
41 1993
 
7.6%
40 1541
 
5.9%
48 1320
 
5.0%
38 1247
 
4.8%
Other values (23) 6202
23.7%
ValueCountFrequency (%)
0 24
 
0.1%
29 4
 
< 0.1%
30 52
 
0.2%
31 113
 
0.4%
32 177
 
0.7%
33 247
 
0.9%
34 448
 
1.7%
35 464
 
1.8%
36 730
2.8%
37 1214
4.6%
ValueCountFrequency (%)
60 7
 
< 0.1%
59 8
 
< 0.1%
58 31
 
0.1%
57 52
 
0.2%
56 49
 
0.2%
55 44
 
0.2%
54 62
 
0.2%
53 110
0.4%
52 157
0.6%
51 239
0.9%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct105
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean80.104462
Minimum0
Maximum125
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:36.446409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q171
median87
Q392
95-th percentile110
Maximum125
Range125
Interquartile range (IQR)21

Descriptive statistics

Standard deviation21.28572
Coefficient of variation (CV)0.26572452
Kurtosis0.25273045
Mean80.104462
Median Absolute Deviation (MAD)8
Skewness-0.91559258
Sum2098817
Variance453.08187
MonotonicityNot monotonic
2025-05-05T17:37:36.660443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 1358
 
5.2%
90 1272
 
4.9%
89 1167
 
4.5%
92 1120
 
4.3%
88 1054
 
4.0%
93 1002
 
3.8%
87 986
 
3.8%
86 906
 
3.5%
85 695
 
2.7%
94 654
 
2.5%
Other values (95) 15987
61.0%
ValueCountFrequency (%)
0 24
 
0.1%
22 6
 
< 0.1%
23 14
 
0.1%
24 10
 
< 0.1%
25 10
 
< 0.1%
26 30
 
0.1%
27 141
0.5%
28 143
0.5%
29 115
0.4%
30 157
0.6%
ValueCountFrequency (%)
125 3
 
< 0.1%
124 15
 
0.1%
123 32
0.1%
122 28
 
0.1%
121 40
0.2%
120 23
 
0.1%
119 15
 
0.1%
118 51
0.2%
117 74
0.3%
116 69
0.3%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean35.854738
Minimum0
Maximum57
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:36.732983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q131
median36
Q338
95-th percentile46
Maximum57
Range57
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4438043
Coefficient of variation (CV)0.15182942
Kurtosis1.7275565
Mean35.854738
Median Absolute Deviation (MAD)4
Skewness0.42135557
Sum939430
Variance29.635005
MonotonicityNot monotonic
2025-05-05T17:37:36.801899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
31 2963
11.3%
38 2826
10.8%
37 2643
10.1%
30 2568
 
9.8%
32 1983
 
7.6%
36 1790
 
6.8%
39 1477
 
5.6%
29 1251
 
4.8%
33 1165
 
4.4%
35 1075
 
4.1%
Other values (30) 6460
24.6%
ValueCountFrequency (%)
0 24
 
0.1%
19 6
 
< 0.1%
20 6
 
< 0.1%
21 7
 
< 0.1%
22 8
 
< 0.1%
23 10
 
< 0.1%
24 12
 
< 0.1%
25 18
 
0.1%
26 56
0.2%
27 116
0.4%
ValueCountFrequency (%)
57 2
 
< 0.1%
56 2
 
< 0.1%
55 17
 
0.1%
54 44
 
0.2%
53 70
0.3%
52 74
0.3%
51 118
0.5%
50 119
0.5%
49 115
0.4%
48 90
0.3%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean17.935918
Minimum0
Maximum38
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:36.867856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q114
median17
Q321
95-th percentile29
Maximum38
Range38
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4730757
Coefficient of variation (CV)0.30514611
Kurtosis0.38054822
Mean17.935918
Median Absolute Deviation (MAD)3
Skewness0.7021257
Sum469939
Variance29.954558
MonotonicityNot monotonic
2025-05-05T17:37:36.931909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
15 2212
 
8.4%
16 2159
 
8.2%
14 2068
 
7.9%
18 1867
 
7.1%
13 1834
 
7.0%
19 1806
 
6.9%
17 1717
 
6.6%
12 1409
 
5.4%
21 1325
 
5.1%
20 1291
 
4.9%
Other values (23) 8513
32.5%
ValueCountFrequency (%)
0 24
 
0.1%
7 35
 
0.1%
8 202
 
0.8%
9 417
 
1.6%
10 613
 
2.3%
11 1094
4.2%
12 1409
5.4%
13 1834
7.0%
14 2068
7.9%
15 2212
8.4%
ValueCountFrequency (%)
38 3
 
< 0.1%
37 28
 
0.1%
36 70
 
0.3%
35 49
 
0.2%
34 134
 
0.5%
33 66
 
0.3%
32 113
 
0.4%
31 205
0.8%
30 379
1.4%
29 347
1.3%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26201 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131005
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:36.996893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:37.030240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78603
60.0%
. 26201
 
20.0%
0 26201
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct400
Distinct (%)1.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.8299302
Minimum-3276.8
Maximum90.1
Zeros267
Zeros (%)1.0%
Negative10157
Negative (%)38.8%
Memory size1.4 MiB
2025-05-05T17:37:37.079500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-2.1
Q1-1
median0.9
Q320
95-th percentile43.2
Maximum90.1
Range3366.9
Interquartile range (IQR)21

Descriptive statistics

Standard deviation101.17222
Coefficient of variation (CV)14.813067
Kurtosis1013.6875
Mean6.8299302
Median Absolute Deviation (MAD)2.7
Skewness-31.299737
Sum178951
Variance10235.817
MonotonicityNot monotonic
2025-05-05T17:37:37.156018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 4464
 
17.0%
0.9 1109
 
4.2%
0.8 617
 
2.4%
-1.3 585
 
2.2%
-1.2 559
 
2.1%
-1.1 544
 
2.1%
-1.4 536
 
2.0%
-1 499
 
1.9%
-0.9 488
 
1.9%
-0.8 476
 
1.8%
Other values (390) 16324
62.3%
ValueCountFrequency (%)
-3276.8 24
 
0.1%
-2.6 26
 
0.1%
-2.5 50
 
0.2%
-2.4 160
 
0.6%
-2.3 405
1.5%
-2.2 381
1.5%
-2.1 365
1.4%
-2 436
1.7%
-1.9 439
1.7%
-1.8 413
1.6%
ValueCountFrequency (%)
90.1 1
 
< 0.1%
89.3 236
0.9%
89.2 377
1.4%
89 1
 
< 0.1%
80 1
 
< 0.1%
78.1 141
 
0.5%
78 286
1.1%
76.7 1
 
< 0.1%
75.1 1
 
< 0.1%
74.1 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation  Skewed 

Distinct228
Distinct (%)0.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.1708026
Minimum-3
Maximum3276.7
Zeros238
Zeros (%)0.9%
Negative20213
Negative (%)77.1%
Memory size1.4 MiB
2025-05-05T17:37:37.233611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2.8
Q1-2.8
median-2.7
Q3-0.6
95-th percentile20
Maximum3276.7
Range3279.7
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation100.47368
Coefficient of variation (CV)14.011497
Kurtosis1024.4158
Mean7.1708026
Median Absolute Deviation (MAD)0.1
Skewness31.583033
Sum187882.2
Variance10094.96
MonotonicityNot monotonic
2025-05-05T17:37:37.311699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 12965
49.5%
20 3912
 
14.9%
-2.7 1286
 
4.9%
-2.6 760
 
2.9%
-2.4 375
 
1.4%
-2.5 370
 
1.4%
89.2 368
 
1.4%
-1.2 337
 
1.3%
-1.3 322
 
1.2%
78 304
 
1.2%
Other values (218) 5202
19.8%
ValueCountFrequency (%)
-3 3
 
< 0.1%
-2.8 12965
49.5%
-2.7 1286
 
4.9%
-2.6 760
 
2.9%
-2.5 370
 
1.4%
-2.4 375
 
1.4%
-2.3 287
 
1.1%
-2.2 228
 
0.9%
-2.1 183
 
0.7%
-2 193
 
0.7%
ValueCountFrequency (%)
3276.7 24
 
0.1%
89.3 166
0.6%
89.2 368
1.4%
89.1 1
 
< 0.1%
89 4
 
< 0.1%
78.6 4
 
< 0.1%
78.5 1
 
< 0.1%
78 304
1.2%
76.8 2
 
< 0.1%
76.7 2
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct401
Distinct (%)1.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.0694248
Minimum-2.7
Maximum89.3
Zeros375
Zeros (%)1.4%
Negative16365
Negative (%)62.4%
Memory size1.4 MiB
2025-05-05T17:37:37.389554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.5
Q1-2.3
median-1.1
Q37.7
95-th percentile20
Maximum89.3
Range92
Interquartile range (IQR)10

Descriptive statistics

Standard deviation17.293402
Coefficient of variation (CV)2.8492654
Kurtosis12.710119
Mean6.0694248
Median Absolute Deviation (MAD)1.4
Skewness3.4258916
Sum159025
Variance299.06176
MonotonicityNot monotonic
2025-05-05T17:37:37.466429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3896
 
14.9%
-2.5 3431
 
13.1%
-2.4 1803
 
6.9%
-2.6 1074
 
4.1%
-2.3 998
 
3.8%
-2.2 802
 
3.1%
-2.1 608
 
2.3%
-1.9 608
 
2.3%
-2 556
 
2.1%
-1.8 548
 
2.1%
Other values (391) 11877
45.3%
ValueCountFrequency (%)
-2.7 127
 
0.5%
-2.6 1074
 
4.1%
-2.5 3431
13.1%
-2.4 1803
6.9%
-2.3 998
 
3.8%
-2.2 802
 
3.1%
-2.1 608
 
2.3%
-2 556
 
2.1%
-1.9 608
 
2.3%
-1.8 548
 
2.1%
ValueCountFrequency (%)
89.3 166
0.6%
89.2 369
1.4%
89.1 8
 
< 0.1%
89 3
 
< 0.1%
88.9 1
 
< 0.1%
88.6 2
 
< 0.1%
88.3 1
 
< 0.1%
88.1 1
 
< 0.1%
87.8 1
 
< 0.1%
87.4 1
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Zeros 

Distinct228
Distinct (%)0.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.2436319
Minimum0
Maximum43.9
Zeros5567
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:37.544230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.4
Q31
95-th percentile7.3
Maximum43.9
Range43.9
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation2.8677432
Coefficient of variation (CV)2.3059421
Kurtosis50.725447
Mean1.2436319
Median Absolute Deviation (MAD)0.4
Skewness5.838264
Sum32584.4
Variance8.2239511
MonotonicityNot monotonic
2025-05-05T17:37:37.622106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5567
21.2%
0.1 3168
12.1%
0.2 2297
 
8.8%
0.3 1999
 
7.6%
0.4 1769
 
6.7%
0.5 1462
 
5.6%
0.6 1199
 
4.6%
0.7 833
 
3.2%
0.8 627
 
2.4%
0.9 525
 
2.0%
Other values (218) 6755
25.8%
ValueCountFrequency (%)
0 5567
21.2%
0.1 3168
12.1%
0.2 2297
8.8%
0.3 1999
 
7.6%
0.4 1769
 
6.7%
0.5 1462
 
5.6%
0.6 1199
 
4.6%
0.7 833
 
3.2%
0.8 627
 
2.4%
0.9 525
 
2.0%
ValueCountFrequency (%)
43.9 1
< 0.1%
43.2 1
< 0.1%
42.5 2
< 0.1%
41.7 1
< 0.1%
41.4 1
< 0.1%
41.1 1
< 0.1%
40.8 1
< 0.1%
39.8 1
< 0.1%
38.9 1
< 0.1%
38.2 1
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct56
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean61.094729
Minimum0
Maximum98
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:37.700703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49
Q154
median58
Q366
95-th percentile85
Maximum98
Range98
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.798146
Coefficient of variation (CV)0.17674431
Kurtosis1.3732972
Mean61.094729
Median Absolute Deviation (MAD)5
Skewness0.97590911
Sum1600743
Variance116.59996
MonotonicityNot monotonic
2025-05-05T17:37:37.780964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 1864
 
7.1%
56 1744
 
6.7%
54 1675
 
6.4%
55 1614
 
6.2%
58 1501
 
5.7%
53 1493
 
5.7%
59 1258
 
4.8%
52 1160
 
4.4%
51 1117
 
4.3%
50 927
 
3.5%
Other values (46) 11848
45.2%
ValueCountFrequency (%)
0 24
 
0.1%
44 3
 
< 0.1%
45 11
 
< 0.1%
46 115
 
0.4%
47 146
 
0.6%
48 469
1.8%
49 646
2.5%
50 927
3.5%
51 1117
4.3%
52 1160
4.4%
ValueCountFrequency (%)
98 10
 
< 0.1%
97 10
 
< 0.1%
96 20
 
0.1%
95 15
 
0.1%
94 24
 
0.1%
93 50
 
0.2%
92 94
0.4%
91 151
0.6%
90 128
0.5%
89 121
0.5%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct54
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean64.425671
Minimum0
Maximum96
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:37.861868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54
Q158
median62
Q368
95-th percentile84
Maximum96
Range96
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.2256891
Coefficient of variation (CV)0.14319896
Kurtosis2.4898697
Mean64.425671
Median Absolute Deviation (MAD)5
Skewness0.69562059
Sum1688017
Variance85.113339
MonotonicityNot monotonic
2025-05-05T17:37:37.943502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 1806
 
6.9%
59 1724
 
6.6%
63 1715
 
6.5%
62 1697
 
6.5%
60 1482
 
5.7%
58 1475
 
5.6%
57 1324
 
5.1%
65 1163
 
4.4%
56 1118
 
4.3%
64 1043
 
4.0%
Other values (44) 11654
44.5%
ValueCountFrequency (%)
0 24
 
0.1%
43 5
 
< 0.1%
44 2
 
< 0.1%
45 1
 
< 0.1%
47 1
 
< 0.1%
48 1
 
< 0.1%
49 6
 
< 0.1%
50 106
 
0.4%
51 181
0.7%
52 360
1.4%
ValueCountFrequency (%)
96 1
 
< 0.1%
95 21
 
0.1%
94 44
 
0.2%
93 74
0.3%
92 72
0.3%
91 84
0.3%
90 71
0.3%
89 86
0.3%
88 97
0.4%
87 111
0.4%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct57
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.424984
Minimum0
Maximum97
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:38.023685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q152
median56
Q364
95-th percentile84
Maximum97
Range97
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.34566
Coefficient of variation (CV)0.19092407
Kurtosis1.2584001
Mean59.424984
Median Absolute Deviation (MAD)5
Skewness1.0647041
Sum1556994
Variance128.724
MonotonicityNot monotonic
2025-05-05T17:37:38.241896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 1786
 
6.8%
54 1754
 
6.7%
55 1734
 
6.6%
56 1668
 
6.4%
53 1627
 
6.2%
51 1405
 
5.4%
50 1253
 
4.8%
49 1130
 
4.3%
57 1060
 
4.0%
48 856
 
3.3%
Other values (47) 11928
45.5%
ValueCountFrequency (%)
0 24
 
0.1%
42 9
 
< 0.1%
43 47
 
0.2%
44 111
 
0.4%
45 147
 
0.6%
46 436
 
1.7%
47 615
2.3%
48 856
3.3%
49 1130
4.3%
50 1253
4.8%
ValueCountFrequency (%)
97 9
 
< 0.1%
96 29
 
0.1%
95 30
 
0.1%
94 53
 
0.2%
93 78
0.3%
92 73
0.3%
91 127
0.5%
90 141
0.5%
89 127
0.5%
88 106
0.4%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct56
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean45.835273
Minimum0
Maximum60
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:38.319296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41
Q144
median46
Q348
95-th percentile52
Maximum60
Range60
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.4938509
Coefficient of variation (CV)0.098043506
Kurtosis22.755543
Mean45.835273
Median Absolute Deviation (MAD)2
Skewness-3.0703905
Sum1200930
Variance20.194696
MonotonicityNot monotonic
2025-05-05T17:37:38.394978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 3723
14.2%
47 3014
11.5%
45 2899
11.1%
44 2805
10.7%
48 2338
8.9%
43 2269
8.7%
49 1774
6.8%
42 1711
6.5%
50 1407
 
5.4%
51 880
 
3.4%
Other values (46) 3381
12.9%
ValueCountFrequency (%)
0 24
0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11 3
 
< 0.1%
12 3
 
< 0.1%
13 4
 
< 0.1%
14 16
0.1%
ValueCountFrequency (%)
60 1
 
< 0.1%
59 18
 
0.1%
58 7
 
< 0.1%
57 27
 
0.1%
56 103
 
0.4%
55 150
 
0.6%
54 259
 
1.0%
53 357
1.4%
52 706
2.7%
51 880
3.4%
Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size2.6 MiB
600.0
26201 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131005
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 26201
> 99.9%
(Missing) 7
 
< 0.1%

Length

2025-05-05T17:37:38.460601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:37:38.493299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 26201
100.0%

Most occurring characters

ValueCountFrequency (%)
0 78603
60.0%
6 26201
 
20.0%
. 26201
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 78603
60.0%
6 26201
 
20.0%
. 26201
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 78603
60.0%
6 26201
 
20.0%
. 26201
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131005
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 78603
60.0%
6 26201
 
20.0%
. 26201
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Skewed 

Distinct17
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean599.36216
Minimum0
Maximum604
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:38.527600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum604
Range604
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.692551
Coefficient of variation (CV)0.031187406
Kurtosis979.52228
Mean599.36216
Median Absolute Deviation (MAD)0
Skewness-31.055225
Sum15703888
Variance349.41147
MonotonicityNot monotonic
2025-05-05T17:37:38.580790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
600 26161
99.8%
0 24
 
0.1%
518 2
 
< 0.1%
482 1
 
< 0.1%
483 1
 
< 0.1%
412 1
 
< 0.1%
543 1
 
< 0.1%
274 1
 
< 0.1%
519 1
 
< 0.1%
265 1
 
< 0.1%
Other values (7) 7
 
< 0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 24
0.1%
259 1
 
< 0.1%
265 1
 
< 0.1%
274 1
 
< 0.1%
324 1
 
< 0.1%
412 1
 
< 0.1%
481 1
 
< 0.1%
482 1
 
< 0.1%
483 1
 
< 0.1%
517 1
 
< 0.1%
ValueCountFrequency (%)
604 1
 
< 0.1%
600 26161
99.8%
565 1
 
< 0.1%
543 1
 
< 0.1%
524 1
 
< 0.1%
519 1
 
< 0.1%
518 2
 
< 0.1%
517 1
 
< 0.1%
483 1
 
< 0.1%
482 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct57
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean589.51849
Minimum0
Maximum600
Zeros431
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:38.649837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation77.837663
Coefficient of variation (CV)0.132036
Kurtosis52.540317
Mean589.51849
Median Absolute Deviation (MAD)0
Skewness-7.3700459
Sum15445974
Variance6058.7017
MonotonicityNot monotonic
2025-05-05T17:37:38.726827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25713
98.1%
0 431
 
1.6%
482 2
 
< 0.1%
146 2
 
< 0.1%
515 1
 
< 0.1%
543 1
 
< 0.1%
519 1
 
< 0.1%
21 1
 
< 0.1%
483 1
 
< 0.1%
302 1
 
< 0.1%
Other values (47) 47
 
0.2%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 431
1.6%
6 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
21 1
 
< 0.1%
43 1
 
< 0.1%
53 1
 
< 0.1%
73 1
 
< 0.1%
83 1
 
< 0.1%
84 1
 
< 0.1%
ValueCountFrequency (%)
600 25713
98.1%
590 1
 
< 0.1%
587 1
 
< 0.1%
582 1
 
< 0.1%
565 1
 
< 0.1%
556 1
 
< 0.1%
546 1
 
< 0.1%
543 1
 
< 0.1%
540 1
 
< 0.1%
537 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct75
Distinct (%)0.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean582.26533
Minimum0
Maximum600
Zeros738
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:38.803987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation100.82626
Coefficient of variation (CV)0.17316205
Kurtosis29.021351
Mean582.26533
Median Absolute Deviation (MAD)0
Skewness-5.5610518
Sum15255934
Variance10165.934
MonotonicityNot monotonic
2025-05-05T17:37:38.880043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25371
96.8%
0 738
 
2.8%
539 11
 
< 0.1%
582 2
 
< 0.1%
540 2
 
< 0.1%
18 2
 
< 0.1%
555 2
 
< 0.1%
293 2
 
< 0.1%
598 2
 
< 0.1%
478 2
 
< 0.1%
Other values (65) 67
 
0.3%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 738
2.8%
6 1
 
< 0.1%
18 2
 
< 0.1%
21 1
 
< 0.1%
23 1
 
< 0.1%
25 1
 
< 0.1%
28 1
 
< 0.1%
48 1
 
< 0.1%
53 1
 
< 0.1%
59 1
 
< 0.1%
ValueCountFrequency (%)
600 25371
96.8%
598 2
 
< 0.1%
595 1
 
< 0.1%
590 1
 
< 0.1%
588 1
 
< 0.1%
585 1
 
< 0.1%
582 2
 
< 0.1%
577 1
 
< 0.1%
565 1
 
< 0.1%
559 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct133
Distinct (%)0.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean576.91294
Minimum0
Maximum600
Zeros937
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:38.956676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation113.89064
Coefficient of variation (CV)0.1974139
Kurtosis21.218987
Mean576.91294
Median Absolute Deviation (MAD)0
Skewness-4.8038872
Sum15115696
Variance12971.077
MonotonicityNot monotonic
2025-05-05T17:37:39.033771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25101
95.8%
0 937
 
3.6%
539 8
 
< 0.1%
506 4
 
< 0.1%
293 3
 
< 0.1%
423 3
 
< 0.1%
514 3
 
< 0.1%
533 3
 
< 0.1%
217 2
 
< 0.1%
388 2
 
< 0.1%
Other values (123) 135
 
0.5%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 937
3.6%
2 2
 
< 0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
18 1
 
< 0.1%
25 1
 
< 0.1%
28 1
 
< 0.1%
33 1
 
< 0.1%
ValueCountFrequency (%)
600 25101
95.8%
598 2
 
< 0.1%
592 1
 
< 0.1%
590 1
 
< 0.1%
588 2
 
< 0.1%
585 1
 
< 0.1%
579 1
 
< 0.1%
575 1
 
< 0.1%
565 1
 
< 0.1%
562 2
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct476
Distinct (%)1.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean210.15606
Minimum0
Maximum600
Zeros16563
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:39.109660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation282.42171
Coefficient of variation (CV)1.3438666
Kurtosis-1.5834293
Mean210.15606
Median Absolute Deviation (MAD)0
Skewness0.62675431
Sum5506299
Variance79762.021
MonotonicityNot monotonic
2025-05-05T17:37:39.187657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16563
63.2%
600 8693
33.2%
316 7
 
< 0.1%
506 6
 
< 0.1%
484 6
 
< 0.1%
423 5
 
< 0.1%
362 5
 
< 0.1%
43 5
 
< 0.1%
395 5
 
< 0.1%
128 5
 
< 0.1%
Other values (466) 901
 
3.4%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 16563
63.2%
1 1
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 4
 
< 0.1%
8 4
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
600 8693
33.2%
599 2
 
< 0.1%
598 2
 
< 0.1%
597 2
 
< 0.1%
595 4
 
< 0.1%
594 3
 
< 0.1%
593 1
 
< 0.1%
592 1
 
< 0.1%
591 3
 
< 0.1%
590 2
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct595
Distinct (%)2.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean252.44983
Minimum0
Maximum600
Zeros13782
Zeros (%)52.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:39.265760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation284.04615
Coefficient of variation (CV)1.1251588
Kurtosis-1.8339891
Mean252.44983
Median Absolute Deviation (MAD)0
Skewness0.31393317
Sum6614438
Variance80682.213
MonotonicityNot monotonic
2025-05-05T17:37:39.344670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13782
52.6%
600 9183
35.0%
563 19
 
0.1%
548 17
 
0.1%
568 17
 
0.1%
558 16
 
0.1%
556 16
 
0.1%
537 16
 
0.1%
557 16
 
0.1%
540 15
 
0.1%
Other values (585) 3104
 
11.8%
ValueCountFrequency (%)
0 13782
52.6%
1 4
 
< 0.1%
2 2
 
< 0.1%
3 5
 
< 0.1%
4 2
 
< 0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
8 4
 
< 0.1%
9 2
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
600 9183
35.0%
599 5
 
< 0.1%
598 6
 
< 0.1%
597 2
 
< 0.1%
596 3
 
< 0.1%
595 3
 
< 0.1%
594 2
 
< 0.1%
593 6
 
< 0.1%
592 3
 
< 0.1%
591 10
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct292
Distinct (%)1.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean31.104004
Minimum0
Maximum600
Zeros9696
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:39.422683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q346
95-th percentile108
Maximum600
Range600
Interquartile range (IQR)46

Descriptive statistics

Standard deviation40.60729
Coefficient of variation (CV)1.3055326
Kurtosis15.385811
Mean31.104004
Median Absolute Deviation (MAD)19
Skewness2.6871462
Sum814956
Variance1648.952
MonotonicityNot monotonic
2025-05-05T17:37:39.499318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9696
37.0%
16 450
 
1.7%
15 445
 
1.7%
14 402
 
1.5%
17 385
 
1.5%
13 378
 
1.4%
19 368
 
1.4%
18 366
 
1.4%
20 340
 
1.3%
12 307
 
1.2%
Other values (282) 13064
49.8%
ValueCountFrequency (%)
0 9696
37.0%
1 20
 
0.1%
2 22
 
0.1%
3 24
 
0.1%
4 21
 
0.1%
5 20
 
0.1%
6 24
 
0.1%
7 20
 
0.1%
8 26
 
0.1%
9 71
 
0.3%
ValueCountFrequency (%)
600 5
< 0.1%
545 1
 
< 0.1%
417 1
 
< 0.1%
409 1
 
< 0.1%
402 1
 
< 0.1%
380 1
 
< 0.1%
378 1
 
< 0.1%
359 1
 
< 0.1%
347 1
 
< 0.1%
345 1
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct51
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.6741727
Minimum0
Maximum600
Zeros25755
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:39.715060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74.822718
Coefficient of variation (CV)7.7342756
Kurtosis57.236349
Mean9.6741727
Median Absolute Deviation (MAD)0
Skewness7.6803537
Sum253473
Variance5598.4391
MonotonicityNot monotonic
2025-05-05T17:37:39.792250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25755
98.3%
600 395
 
1.5%
164 2
 
< 0.1%
517 2
 
< 0.1%
179 1
 
< 0.1%
57 1
 
< 0.1%
85 1
 
< 0.1%
543 1
 
< 0.1%
412 1
 
< 0.1%
298 1
 
< 0.1%
Other values (41) 41
 
0.2%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 25755
98.3%
9 1
 
< 0.1%
17 1
 
< 0.1%
53 1
 
< 0.1%
57 1
 
< 0.1%
63 1
 
< 0.1%
85 1
 
< 0.1%
86 1
 
< 0.1%
118 1
 
< 0.1%
121 1
 
< 0.1%
ValueCountFrequency (%)
600 395
1.5%
594 1
 
< 0.1%
583 1
 
< 0.1%
582 1
 
< 0.1%
579 1
 
< 0.1%
547 1
 
< 0.1%
543 1
 
< 0.1%
527 1
 
< 0.1%
524 1
 
< 0.1%
518 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct108
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean584.89779
Minimum0
Maximum600
Zeros601
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:39.868734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation92.429503
Coefficient of variation (CV)0.15802676
Kurtosis35.038616
Mean584.89779
Median Absolute Deviation (MAD)0
Skewness-6.0628723
Sum15324907
Variance8543.213
MonotonicityNot monotonic
2025-05-05T17:37:39.945807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25478
97.2%
0 601
 
2.3%
146 3
 
< 0.1%
217 3
 
< 0.1%
427 2
 
< 0.1%
266 2
 
< 0.1%
541 2
 
< 0.1%
278 2
 
< 0.1%
540 2
 
< 0.1%
293 2
 
< 0.1%
Other values (98) 104
 
0.4%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 601
2.3%
6 1
 
< 0.1%
7 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
21 1
 
< 0.1%
33 1
 
< 0.1%
42 1
 
< 0.1%
53 1
 
< 0.1%
73 1
 
< 0.1%
ValueCountFrequency (%)
600 25478
97.2%
592 1
 
< 0.1%
590 1
 
< 0.1%
588 1
 
< 0.1%
582 1
 
< 0.1%
580 1
 
< 0.1%
565 1
 
< 0.1%
552 1
 
< 0.1%
543 2
 
< 0.1%
541 2
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct595
Distinct (%)2.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean419.92371
Minimum0
Maximum600
Zeros6463
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:40.023184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)583

Descriptive statistics

Standard deviation263.12098
Coefficient of variation (CV)0.62659236
Kurtosis-1.155801
Mean419.92371
Median Absolute Deviation (MAD)0
Skewness-0.87251543
Sum11002421
Variance69232.652
MonotonicityNot monotonic
2025-05-05T17:37:40.102499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 16792
64.1%
0 6463
 
24.7%
521 14
 
0.1%
153 12
 
< 0.1%
575 12
 
< 0.1%
580 12
 
< 0.1%
32 12
 
< 0.1%
585 12
 
< 0.1%
574 11
 
< 0.1%
107 11
 
< 0.1%
Other values (585) 2850
 
10.9%
ValueCountFrequency (%)
0 6463
24.7%
1 3
 
< 0.1%
2 9
 
< 0.1%
3 2
 
< 0.1%
4 3
 
< 0.1%
5 8
 
< 0.1%
6 9
 
< 0.1%
7 6
 
< 0.1%
8 6
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
600 16792
64.1%
599 3
 
< 0.1%
598 3
 
< 0.1%
597 4
 
< 0.1%
596 1
 
< 0.1%
595 9
 
< 0.1%
594 3
 
< 0.1%
593 8
 
< 0.1%
592 10
 
< 0.1%
591 6
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct135
Distinct (%)0.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean22.35346
Minimum0
Maximum600
Zeros25131
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:40.180745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation112.04191
Coefficient of variation (CV)5.0122851
Kurtosis22.089412
Mean22.35346
Median Absolute Deviation (MAD)0
Skewness4.8922105
Sum585683
Variance12553.39
MonotonicityNot monotonic
2025-05-05T17:37:40.258072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25131
95.9%
600 903
 
3.4%
61 8
 
< 0.1%
94 4
 
< 0.1%
86 4
 
< 0.1%
67 3
 
< 0.1%
307 3
 
< 0.1%
176 3
 
< 0.1%
598 2
 
< 0.1%
359 2
 
< 0.1%
Other values (125) 138
 
0.5%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 25131
95.9%
2 2
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
12 2
 
< 0.1%
15 1
 
< 0.1%
21 1
 
< 0.1%
25 1
 
< 0.1%
37 1
 
< 0.1%
38 1
 
< 0.1%
ValueCountFrequency (%)
600 903
3.4%
598 2
 
< 0.1%
597 1
 
< 0.1%
594 1
 
< 0.1%
593 1
 
< 0.1%
588 1
 
< 0.1%
582 1
 
< 0.1%
575 1
 
< 0.1%
572 1
 
< 0.1%
567 1
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Uniform 

Distinct4365
Distinct (%)16.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.3238653 × 108
Minimum1.24524 × 108
Maximum1.402488 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:40.335888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.24524 × 108
5-th percentile1.253088 × 108
Q11.284552 × 108
median1.3239 × 108
Q31.363176 × 108
95-th percentile1.39464 × 108
Maximum1.402488 × 108
Range15724800
Interquartile range (IQR)7862400

Descriptive statistics

Standard deviation4540042.6
Coefficient of variation (CV)0.034293842
Kurtosis-1.200466
Mean1.3238653 × 108
Median Absolute Deviation (MAD)3931200
Skewness-8.3048101 × 10-5
Sum3.4686594 × 1012
Variance2.0611987 × 1013
MonotonicityIncreasing
2025-05-05T17:37:40.417179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131994000 26
 
0.1%
135021600 6
 
< 0.1%
135018000 6
 
< 0.1%
135014400 6
 
< 0.1%
135010800 6
 
< 0.1%
135007200 6
 
< 0.1%
135003600 6
 
< 0.1%
135000000 6
 
< 0.1%
134996400 6
 
< 0.1%
135331200 6
 
< 0.1%
Other values (4355) 26121
99.7%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
124524000 3
< 0.1%
124527600 6
< 0.1%
124531200 6
< 0.1%
124534800 6
< 0.1%
124538400 6
< 0.1%
124542000 6
< 0.1%
124545600 6
< 0.1%
124549200 6
< 0.1%
124552800 6
< 0.1%
124556400 6
< 0.1%
ValueCountFrequency (%)
140248800 3
< 0.1%
140245200 6
< 0.1%
140241600 6
< 0.1%
140238000 6
< 0.1%
140234400 6
< 0.1%
140230800 6
< 0.1%
140227200 6
< 0.1%
140223600 6
< 0.1%
140220000 6
< 0.1%
140216400 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26177
Distinct (%)99.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.306421 × 108
Minimum1.2278873 × 108
Maximum1.3849698 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:40.498693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.2278873 × 108
5-th percentile1.2357473 × 108
Q11.2671818 × 108
median1.306335 × 108
Q31.3456709 × 108
95-th percentile1.3771098 × 108
Maximum1.3849698 × 108
Range15708248
Interquartile range (IQR)7848912

Descriptive statistics

Standard deviation4533222
Coefficient of variation (CV)0.034699551
Kurtosis-1.1987062
Mean1.306421 × 108
Median Absolute Deviation (MAD)3924600
Skewness0.0004486266
Sum3.4229535 × 1012
Variance2.0550102 × 1013
MonotonicityIncreasing
2025-05-05T17:37:40.579022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130257024 25
 
0.1%
133265688 1
 
< 0.1%
133265088 1
 
< 0.1%
133264488 1
 
< 0.1%
133263888 1
 
< 0.1%
133263288 1
 
< 0.1%
133262688 1
 
< 0.1%
133262088 1
 
< 0.1%
133261488 1
 
< 0.1%
133260888 1
 
< 0.1%
Other values (26167) 26167
99.8%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
122788728 1
< 0.1%
122789328 1
< 0.1%
122789928 1
< 0.1%
122790528 1
< 0.1%
122791128 1
< 0.1%
122791728 1
< 0.1%
122792328 1
< 0.1%
122792928 1
< 0.1%
122793528 1
< 0.1%
122794128 1
< 0.1%
ValueCountFrequency (%)
138496976 1
< 0.1%
138496368 1
< 0.1%
138495776 1
< 0.1%
138495168 1
< 0.1%
138494576 1
< 0.1%
138493968 1
< 0.1%
138493376 1
< 0.1%
138492768 1
< 0.1%
138492176 1
< 0.1%
138491568 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation 

Distinct25770
Distinct (%)98.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.2562196 × 108
Minimum1.178704 × 108
Maximum1.3332074 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:40.659292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.178704 × 108
5-th percentile1.186564 × 108
Q11.2177905 × 108
median1.2562067 × 108
Q31.294521 × 108
95-th percentile1.325763 × 108
Maximum1.3332074 × 108
Range15450336
Interquartile range (IQR)7673048

Descriptive statistics

Standard deviation4453216.3
Coefficient of variation (CV)0.035449346
Kurtosis-1.1896435
Mean1.2562196 × 108
Median Absolute Deviation (MAD)3836816
Skewness-0.002599023
Sum3.2914209 × 1012
Variance1.9831135 × 1013
MonotonicityIncreasing
2025-05-05T17:37:40.739735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127501912 137
 
0.5%
133293712 40
 
0.2%
125516168 39
 
0.1%
122031840 33
 
0.1%
132383792 33
 
0.1%
127561440 29
 
0.1%
132705512 28
 
0.1%
121627976 28
 
0.1%
125279840 25
 
0.1%
123492736 9
 
< 0.1%
Other values (25760) 25800
98.4%
ValueCountFrequency (%)
117870400 1
< 0.1%
117871000 1
< 0.1%
117871600 1
< 0.1%
117872200 1
< 0.1%
117872800 1
< 0.1%
117873400 1
< 0.1%
117874000 1
< 0.1%
117874600 1
< 0.1%
117875200 1
< 0.1%
117875800 1
< 0.1%
ValueCountFrequency (%)
133320736 1
< 0.1%
133320136 1
< 0.1%
133319536 1
< 0.1%
133318936 1
< 0.1%
133318336 1
< 0.1%
133317736 1
< 0.1%
133317136 1
< 0.1%
133316536 1
< 0.1%
133315936 1
< 0.1%
133315336 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation 

Distinct25463
Distinct (%)97.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.26919 × 108
Minimum1.192531 × 108
Maximum1.3451339 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:40.820889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.192531 × 108
5-th percentile1.200391 × 108
Q11.2315465 × 108
median1.2698772 × 108
Q31.3064484 × 108
95-th percentile1.3376856 × 108
Maximum1.3451339 × 108
Range15260296
Interquartile range (IQR)7490192

Descriptive statistics

Standard deviation4373575.9
Coefficient of variation (CV)0.034459585
Kurtosis-1.1702427
Mean1.26919 × 108
Median Absolute Deviation (MAD)3745320
Skewness-0.0093696551
Sum3.3254046 × 1012
Variance1.9128167 × 1013
MonotonicityIncreasing
2025-05-05T17:37:40.900524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127892864 276
 
1.1%
128696392 137
 
0.5%
134486368 40
 
0.2%
126883216 39
 
0.1%
123411200 33
 
0.1%
133576040 33
 
0.1%
126649168 29
 
0.1%
128755920 29
 
0.1%
123003568 28
 
0.1%
133897568 28
 
0.1%
Other values (25453) 25529
97.4%
ValueCountFrequency (%)
119253096 1
< 0.1%
119253696 1
< 0.1%
119254296 1
< 0.1%
119254896 1
< 0.1%
119255496 1
< 0.1%
119256096 1
< 0.1%
119256696 1
< 0.1%
119257296 1
< 0.1%
119257896 1
< 0.1%
119258496 1
< 0.1%
ValueCountFrequency (%)
134513392 1
< 0.1%
134512800 1
< 0.1%
134512192 1
< 0.1%
134511584 1
< 0.1%
134510992 1
< 0.1%
134510400 1
< 0.1%
134509792 1
< 0.1%
134509200 1
< 0.1%
134508592 1
< 0.1%
134508000 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation 

Distinct25263
Distinct (%)96.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.2268089 × 108
Minimum1.1508224 × 108
Maximum1.302023 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:40.981171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.1508224 × 108
5-th percentile1.1586824 × 108
Q11.1896323 × 108
median1.227161 × 108
Q31.2637034 × 108
95-th percentile1.2945835 × 108
Maximum1.302023 × 108
Range15120064
Interquartile range (IQR)7407112

Descriptive statistics

Standard deviation4325237.9
Coefficient of variation (CV)0.035256004
Kurtosis-1.1656652
Mean1.2268089 × 108
Median Absolute Deviation (MAD)3703664
Skewness-0.0086954283
Sum3.214362 × 1012
Variance1.8707683 × 1013
MonotonicityIncreasing
2025-05-05T17:37:41.200157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123619432 284
 
1.1%
124421920 137
 
0.5%
122313280 50
 
0.2%
130175288 40
 
0.2%
122611616 39
 
0.1%
122379608 35
 
0.1%
129265832 33
 
0.1%
119214568 33
 
0.1%
124481432 29
 
0.1%
129587088 28
 
0.1%
Other values (25253) 25493
97.3%
ValueCountFrequency (%)
115082240 1
< 0.1%
115082840 1
< 0.1%
115083440 1
< 0.1%
115084040 1
< 0.1%
115084640 1
< 0.1%
115085240 1
< 0.1%
115085840 1
< 0.1%
115086440 1
< 0.1%
115087040 1
< 0.1%
115087640 1
< 0.1%
ValueCountFrequency (%)
130202304 1
< 0.1%
130201704 1
< 0.1%
130201104 1
< 0.1%
130200504 1
< 0.1%
130199904 1
< 0.1%
130199304 1
< 0.1%
130198704 1
< 0.1%
130198104 1
< 0.1%
130197504 1
< 0.1%
130196904 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation 

Distinct9635
Distinct (%)36.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean43312319
Minimum40521556
Maximum46027920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:41.278577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum40521556
5-th percentile40837084
Q141765916
median43380120
Q344687248
95-th percentile45829708
Maximum46027920
Range5506364
Interquartile range (IQR)2921332

Descriptive statistics

Standard deviation1613099.4
Coefficient of variation (CV)0.037243431
Kurtosis-1.2161283
Mean43312319
Median Absolute Deviation (MAD)1422232
Skewness-0.12472913
Sum1.1348261 × 1012
Variance2.6020895 × 1012
MonotonicityIncreasing
2025-05-05T17:37:41.356879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43867112 728
 
2.8%
41436608 632
 
2.4%
43180956 491
 
1.9%
45924788 481
 
1.8%
44810940 472
 
1.8%
40935132 433
 
1.7%
44521624 395
 
1.5%
43987288 365
 
1.4%
44622352 357
 
1.4%
40956112 332
 
1.3%
Other values (9625) 21515
82.1%
ValueCountFrequency (%)
40521556 112
0.4%
40521584 1
 
< 0.1%
40522184 1
 
< 0.1%
40522784 1
 
< 0.1%
40523384 1
 
< 0.1%
40523984 1
 
< 0.1%
40524584 1
 
< 0.1%
40525184 1
 
< 0.1%
40525784 1
 
< 0.1%
40526384 1
 
< 0.1%
ValueCountFrequency (%)
46027920 93
0.4%
46027424 1
 
< 0.1%
46026824 1
 
< 0.1%
46026224 1
 
< 0.1%
46025624 1
 
< 0.1%
46025024 1
 
< 0.1%
46024424 1
 
< 0.1%
46023824 1
 
< 0.1%
46023224 1
 
< 0.1%
46022624 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation 

Distinct12412
Distinct (%)47.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean51447567
Minimum48108740
Maximum54723788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:41.435542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum48108740
5-th percentile48520760
Q149895920
median51476724
Q352984544
95-th percentile54347432
Maximum54723788
Range6615048
Interquartile range (IQR)3088624

Descriptive statistics

Standard deviation1868180
Coefficient of variation (CV)0.03631231
Kurtosis-1.16966
Mean51447567
Median Absolute Deviation (MAD)1555788
Skewness0.0073894727
Sum1.3479777 × 1012
Variance3.4900965 × 1012
MonotonicityIncreasing
2025-05-05T17:37:41.514901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51817736 357
 
1.4%
51219348 266
 
1.0%
50308268 260
 
1.0%
49208016 254
 
1.0%
52161664 253
 
1.0%
54347432 228
 
0.9%
49502400 210
 
0.8%
50412832 201
 
0.8%
51630552 198
 
0.8%
51508880 189
 
0.7%
Other values (12402) 23785
90.8%
ValueCountFrequency (%)
48108740 1
< 0.1%
48109344 1
< 0.1%
48109940 1
< 0.1%
48110544 1
< 0.1%
48111140 1
< 0.1%
48111740 1
< 0.1%
48112344 1
< 0.1%
48112944 1
< 0.1%
48113544 1
< 0.1%
48114144 1
< 0.1%
ValueCountFrequency (%)
54723788 1
< 0.1%
54723184 1
< 0.1%
54722584 1
< 0.1%
54721984 1
< 0.1%
54721388 1
< 0.1%
54720784 1
< 0.1%
54720188 1
< 0.1%
54719588 1
< 0.1%
54718988 1
< 0.1%
54718388 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation 

Distinct16506
Distinct (%)63.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6348476.1
Minimum5939618
Maximum6755789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:41.594870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5939618
5-th percentile5990442
Q16149917
median6348444
Q36534153
95-th percentile6721680
Maximum6755789
Range816171
Interquartile range (IQR)384236

Descriptive statistics

Standard deviation233425.59
Coefficient of variation (CV)0.03676876
Kurtosis-1.1411681
Mean6348476.1
Median Absolute Deviation (MAD)191792
Skewness0.014224919
Sum1.6633642 × 1011
Variance5.4487507 × 1010
MonotonicityIncreasing
2025-05-05T17:37:41.676928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6406146 342
 
1.3%
6001311 99
 
0.4%
6121776 66
 
0.3%
5994104 60
 
0.2%
6512657 59
 
0.2%
6654912 59
 
0.2%
6523010 53
 
0.2%
6037723 53
 
0.2%
6046285 51
 
0.2%
6419743 50
 
0.2%
Other values (16496) 25309
96.6%
ValueCountFrequency (%)
5939618 11
< 0.1%
5939634 1
 
< 0.1%
5939658 1
 
< 0.1%
5939673 3
 
< 0.1%
5939718 2
 
< 0.1%
5939755 3
 
< 0.1%
5939798 1
 
< 0.1%
5939820 1
 
< 0.1%
5939860 1
 
< 0.1%
5939877 1
 
< 0.1%
ValueCountFrequency (%)
6755789 1
 
< 0.1%
6755772 6
< 0.1%
6755759 3
 
< 0.1%
6755745 3
 
< 0.1%
6755733 5
< 0.1%
6755720 1
 
< 0.1%
6755705 6
< 0.1%
6755690 4
 
< 0.1%
6755676 3
 
< 0.1%
6755661 10
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation 

Distinct447
Distinct (%)1.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2852657.8
Minimum2753667
Maximum3007146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:41.759422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2753667
5-th percentile2753667
Q12774457
median2844394
Q32946559
95-th percentile2966178
Maximum3007146
Range253479
Interquartile range (IQR)172102

Descriptive statistics

Standard deviation82055.027
Coefficient of variation (CV)0.028764413
Kurtosis-1.5803382
Mean2852657.8
Median Absolute Deviation (MAD)88606
Skewness0.21938543
Sum7.4742487 × 1010
Variance6.7330274 × 109
MonotonicityIncreasing
2025-05-05T17:37:41.840792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2946559 8038
30.7%
2753667 3095
 
11.8%
2799229 2313
 
8.8%
2755788 2177
 
8.3%
2808184 2061
 
7.9%
2844394 1691
 
6.5%
2846624 1341
 
5.1%
2982781 981
 
3.7%
2757865 857
 
3.3%
2804655 690
 
2.6%
Other values (437) 2957
 
11.3%
ValueCountFrequency (%)
2753667 3095
11.8%
2753752 1
 
< 0.1%
2754352 1
 
< 0.1%
2754952 1
 
< 0.1%
2755552 1
 
< 0.1%
2755731 135
 
0.5%
2755788 2177
8.3%
2756367 1
 
< 0.1%
2756967 1
 
< 0.1%
2757567 1
 
< 0.1%
ValueCountFrequency (%)
3007146 46
0.2%
3006566 1
 
< 0.1%
3005964 1
 
< 0.1%
3005365 1
 
< 0.1%
3004765 1
 
< 0.1%
3004165 1
 
< 0.1%
3003565 1
 
< 0.1%
3002966 1
 
< 0.1%
3002365 1
 
< 0.1%
3001765 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation 

Distinct25599
Distinct (%)97.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.2685666 × 108
Minimum1.1916242 × 108
Maximum1.344917 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:41.918296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.1916242 × 108
5-th percentile1.1994842 × 108
Q11.2305136 × 108
median1.2682384 × 108
Q31.3065358 × 108
95-th percentile1.3374667 × 108
Maximum1.344917 × 108
Range15329272
Interquartile range (IQR)7602216

Descriptive statistics

Standard deviation4410776
Coefficient of variation (CV)0.034769763
Kurtosis-1.1851858
Mean1.2685666 × 108
Median Absolute Deviation (MAD)3801280
Skewness-0.0023898617
Sum3.3237713 × 1012
Variance1.9454945 × 1013
MonotonicityIncreasing
2025-05-05T17:37:42.000775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128703392 137
 
0.5%
126414064 50
 
0.2%
134464688 40
 
0.2%
126719344 39
 
0.1%
123307912 33
 
0.1%
133554152 33
 
0.1%
128762920 29
 
0.1%
133875872 28
 
0.1%
122900280 28
 
0.1%
126484656 25
 
0.1%
Other values (25589) 25759
98.3%
ValueCountFrequency (%)
119162424 1
< 0.1%
119163024 1
< 0.1%
119163624 1
< 0.1%
119164224 1
< 0.1%
119164824 1
< 0.1%
119165424 1
< 0.1%
119166024 1
< 0.1%
119166624 1
< 0.1%
119167224 1
< 0.1%
119167824 1
< 0.1%
ValueCountFrequency (%)
134491696 1
< 0.1%
134491104 1
< 0.1%
134490496 1
< 0.1%
134489904 1
< 0.1%
134489296 1
< 0.1%
134488704 1
< 0.1%
134488096 1
< 0.1%
134487504 1
< 0.1%
134486896 1
< 0.1%
134486304 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation 

Distinct19723
Distinct (%)75.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean88547474
Minimum82998960
Maximum94001984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:42.081320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum82998960
5-th percentile83664808
Q185673200
median88643896
Q391206416
95-th percentile93469664
Maximum94001984
Range11003024
Interquartile range (IQR)5533216

Descriptive statistics

Standard deviation3161748.3
Coefficient of variation (CV)0.035706816
Kurtosis-1.2091783
Mean88547474
Median Absolute Deviation (MAD)2729344
Skewness-0.066961148
Sum2.3200324 × 1012
Variance9.9966526 × 1012
MonotonicityIncreasing
2025-05-05T17:37:42.160993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83891992 131
 
0.5%
93645296 116
 
0.4%
89647048 108
 
0.4%
85289616 104
 
0.4%
89451480 103
 
0.4%
89408832 98
 
0.4%
88109584 98
 
0.4%
83742216 97
 
0.4%
91546352 87
 
0.3%
90929960 80
 
0.3%
Other values (19713) 25179
96.1%
ValueCountFrequency (%)
82998960 1
< 0.1%
82999520 1
< 0.1%
83000064 1
< 0.1%
83000672 1
< 0.1%
83001264 1
< 0.1%
83001872 1
< 0.1%
83002472 1
< 0.1%
83003072 1
< 0.1%
83003672 1
< 0.1%
83004272 1
< 0.1%
ValueCountFrequency (%)
94001984 1
< 0.1%
94001384 1
< 0.1%
94000784 1
< 0.1%
94000184 1
< 0.1%
93999584 1
< 0.1%
93998984 1
< 0.1%
93998384 1
< 0.1%
93997784 1
< 0.1%
93997184 1
< 0.1%
93996584 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2032
Distinct (%)7.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-487.55517
Minimum-5125
Maximum0
Zeros18717
Zeros (%)71.4%
Negative7484
Negative (%)28.6%
Memory size1.4 MiB
2025-05-05T17:37:42.240092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5125
5-th percentile-2322
Q1-339
median0
Q30
95-th percentile0
Maximum0
Range5125
Interquartile range (IQR)339

Descriptive statistics

Standard deviation885.20576
Coefficient of variation (CV)-1.8156012
Kurtosis0.21062047
Mean-487.55517
Median Absolute Deviation (MAD)0
Skewness-1.4253069
Sum-12774433
Variance783589.24
MonotonicityNot monotonic
2025-05-05T17:37:42.453798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18717
71.4%
-1 81
 
0.3%
-2246 30
 
0.1%
-2195 29
 
0.1%
-2230 28
 
0.1%
-2226 27
 
0.1%
-2281 27
 
0.1%
-2245 25
 
0.1%
-2220 25
 
0.1%
-2260 24
 
0.1%
Other values (2022) 7188
 
27.4%
ValueCountFrequency (%)
-5125 1
< 0.1%
-4655 1
< 0.1%
-3460 1
< 0.1%
-3012 1
< 0.1%
-2931 1
< 0.1%
-2873 1
< 0.1%
-2862 1
< 0.1%
-2853 1
< 0.1%
-2844 1
< 0.1%
-2843 1
< 0.1%
ValueCountFrequency (%)
0 18717
71.4%
-1 81
 
0.3%
-2 1
 
< 0.1%
-5 2
 
< 0.1%
-10 1
 
< 0.1%
-11 1
 
< 0.1%
-12 1
 
< 0.1%
-13 1
 
< 0.1%
-14 1
 
< 0.1%
-15 1
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct9343
Distinct (%)35.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean98052.649
Minimum-61
Maximum508384
Zeros16513
Zeros (%)63.0%
Negative4
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:37:42.529042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-61
5-th percentile0
Q10
median0
Q3169295
95-th percentile470218
Maximum508384
Range508445
Interquartile range (IQR)169295

Descriptive statistics

Standard deviation155255.53
Coefficient of variation (CV)1.5833894
Kurtosis0.56678941
Mean98052.649
Median Absolute Deviation (MAD)0
Skewness1.3897587
Sum2.5690775 × 109
Variance2.4104278 × 1010
MonotonicityNot monotonic
2025-05-05T17:37:42.609554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16513
63.0%
1 47
 
0.2%
333301 12
 
< 0.1%
333303 9
 
< 0.1%
500071 8
 
< 0.1%
500077 8
 
< 0.1%
500066 8
 
< 0.1%
500069 7
 
< 0.1%
333299 6
 
< 0.1%
333302 6
 
< 0.1%
Other values (9333) 9577
36.5%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
-61 1
 
< 0.1%
-55 1
 
< 0.1%
-38 1
 
< 0.1%
-22 1
 
< 0.1%
0 16513
63.0%
1 47
 
0.2%
66 1
 
< 0.1%
119 1
 
< 0.1%
195 1
 
< 0.1%
236 1
 
< 0.1%
ValueCountFrequency (%)
508384 1
< 0.1%
508288 1
< 0.1%
508238 1
< 0.1%
508146 1
< 0.1%
506258 1
< 0.1%
506006 1
< 0.1%
505264 1
< 0.1%
504871 1
< 0.1%
504300 1
< 0.1%
503666 1
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct11471
Distinct (%)43.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean17125.812
Minimum-1327
Maximum140301
Zeros13707
Zeros (%)52.3%
Negative255
Negative (%)1.0%
Memory size1.4 MiB
2025-05-05T17:37:42.682899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1327
5-th percentile0
Q10
median0
Q327909
95-th percentile76810
Maximum140301
Range141628
Interquartile range (IQR)27909

Descriptive statistics

Standard deviation26756.055
Coefficient of variation (CV)1.5623233
Kurtosis1.9748647
Mean17125.812
Median Absolute Deviation (MAD)0
Skewness1.6478107
Sum4.4871339 × 108
Variance7.1588646 × 108
MonotonicityNot monotonic
2025-05-05T17:37:42.762235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13707
52.3%
1 77
 
0.3%
-1 9
 
< 0.1%
31520 4
 
< 0.1%
17888 4
 
< 0.1%
-195 4
 
< 0.1%
3445 4
 
< 0.1%
5028 3
 
< 0.1%
130 3
 
< 0.1%
16351 3
 
< 0.1%
Other values (11461) 12383
47.2%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
-1327 1
< 0.1%
-1269 1
< 0.1%
-1206 1
< 0.1%
-1194 1
< 0.1%
-1176 1
< 0.1%
-1141 1
< 0.1%
-1104 1
< 0.1%
-1103 1
< 0.1%
-1057 1
< 0.1%
-1010 1
< 0.1%
ValueCountFrequency (%)
140301 1
< 0.1%
135069 1
< 0.1%
135011 1
< 0.1%
134455 1
< 0.1%
134446 1
< 0.1%
134183 1
< 0.1%
134182 1
< 0.1%
133767 1
< 0.1%
132342 1
< 0.1%
132082 1
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct20756
Distinct (%)79.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean114690.91
Minimum-5125
Maximum508384
Zeros66
Zeros (%)0.3%
Negative5652
Negative (%)21.6%
Memory size1.4 MiB
2025-05-05T17:37:42.844383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5125
5-th percentile-2326
Q14474
median48211
Q3169845
95-th percentile470218
Maximum508384
Range513509
Interquartile range (IQR)165371

Descriptive statistics

Standard deviation147270.05
Coefficient of variation (CV)1.2840604
Kurtosis0.6580836
Mean114690.91
Median Absolute Deviation (MAD)50366
Skewness1.3641695
Sum3.0050164 × 109
Variance2.1688467 × 1010
MonotonicityNot monotonic
2025-05-05T17:37:42.925500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66
 
0.3%
-2246 31
 
0.1%
-2195 29
 
0.1%
-2281 27
 
0.1%
-2226 26
 
0.1%
-2245 26
 
0.1%
-2230 26
 
0.1%
-2220 25
 
0.1%
-2216 24
 
0.1%
-2241 24
 
0.1%
Other values (20746) 25897
98.8%
ValueCountFrequency (%)
-5125 1
< 0.1%
-4655 1
< 0.1%
-3460 1
< 0.1%
-3012 1
< 0.1%
-2941 1
< 0.1%
-2930 1
< 0.1%
-2873 1
< 0.1%
-2862 1
< 0.1%
-2856 1
< 0.1%
-2853 1
< 0.1%
ValueCountFrequency (%)
508384 1
< 0.1%
508288 1
< 0.1%
508238 1
< 0.1%
508146 1
< 0.1%
506258 1
< 0.1%
506006 1
< 0.1%
505264 1
< 0.1%
504871 1
< 0.1%
504300 1
< 0.1%
503666 1
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2985
Distinct (%)11.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-155.1045
Minimum-3350
Maximum7824
Zeros18730
Zeros (%)71.5%
Negative4996
Negative (%)19.1%
Memory size1.4 MiB
2025-05-05T17:37:43.002150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3350
5-th percentile-1990
Q10
median0
Q30
95-th percentile443
Maximum7824
Range11174
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1141.3738
Coefficient of variation (CV)-7.3587407
Kurtosis12.032853
Mean-155.1045
Median Absolute Deviation (MAD)0
Skewness2.2312422
Sum-4063893
Variance1302734.1
MonotonicityNot monotonic
2025-05-05T17:37:43.080533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18730
71.5%
250 106
 
0.4%
1 58
 
0.2%
100 41
 
0.2%
-1 37
 
0.1%
267 25
 
0.1%
234 21
 
0.1%
-1903 20
 
0.1%
-1820 19
 
0.1%
233 17
 
0.1%
Other values (2975) 7127
 
27.2%
ValueCountFrequency (%)
-3350 1
< 0.1%
-3273 1
< 0.1%
-3159 1
< 0.1%
-3089 1
< 0.1%
-3038 1
< 0.1%
-2999 1
< 0.1%
-2981 1
< 0.1%
-2921 1
< 0.1%
-2870 1
< 0.1%
-2856 1
< 0.1%
ValueCountFrequency (%)
7824 1
< 0.1%
7815 1
< 0.1%
7810 1
< 0.1%
7809 1
< 0.1%
7803 1
< 0.1%
7626 1
< 0.1%
7598 1
< 0.1%
7589 1
< 0.1%
7580 1
< 0.1%
7577 1
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct213
Distinct (%)0.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.3144536
Minimum-153
Maximum274
Zeros20336
Zeros (%)77.6%
Negative318
Negative (%)1.2%
Memory size1.4 MiB
2025-05-05T17:37:43.153807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-153
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum274
Range427
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.020251
Coefficient of variation (CV)6.4897611
Kurtosis72.063691
Mean2.3144536
Median Absolute Deviation (MAD)0
Skewness7.6628857
Sum60641
Variance225.60795
MonotonicityNot monotonic
2025-05-05T17:37:43.226425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20336
77.6%
1 2665
 
10.2%
2 1190
 
4.5%
3 752
 
2.9%
-1 197
 
0.8%
4 190
 
0.7%
5 90
 
0.3%
-2 35
 
0.1%
6 31
 
0.1%
90 17
 
0.1%
Other values (203) 698
 
2.7%
ValueCountFrequency (%)
-153 1
< 0.1%
-135 1
< 0.1%
-114 1
< 0.1%
-111 1
< 0.1%
-89 1
< 0.1%
-76 1
< 0.1%
-73 1
< 0.1%
-69 1
< 0.1%
-68 1
< 0.1%
-61 1
< 0.1%
ValueCountFrequency (%)
274 1
< 0.1%
247 1
< 0.1%
239 1
< 0.1%
225 1
< 0.1%
218 1
< 0.1%
216 1
< 0.1%
214 1
< 0.1%
201 1
< 0.1%
198 2
< 0.1%
197 1
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct714
Distinct (%)2.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean22.744552
Minimum-642
Maximum2096
Zeros23396
Zeros (%)89.3%
Negative99
Negative (%)0.4%
Memory size1.4 MiB
2025-05-05T17:37:43.297781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-642
5-th percentile0
Q10
median0
Q30
95-th percentile165
Maximum2096
Range2738
Interquartile range (IQR)0

Descriptive statistics

Standard deviation92.825113
Coefficient of variation (CV)4.0812021
Kurtosis38.979738
Mean22.744552
Median Absolute Deviation (MAD)0
Skewness5.3476278
Sum595930
Variance8616.5017
MonotonicityNot monotonic
2025-05-05T17:37:43.370278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23396
89.3%
1 196
 
0.7%
91 21
 
0.1%
81 19
 
0.1%
93 18
 
0.1%
106 17
 
0.1%
96 16
 
0.1%
73 16
 
0.1%
87 15
 
0.1%
78 15
 
0.1%
Other values (704) 2472
 
9.4%
ValueCountFrequency (%)
-642 1
< 0.1%
-383 1
< 0.1%
-373 1
< 0.1%
-366 1
< 0.1%
-307 1
< 0.1%
-305 1
< 0.1%
-276 1
< 0.1%
-270 1
< 0.1%
-266 1
< 0.1%
-255 1
< 0.1%
ValueCountFrequency (%)
2096 1
< 0.1%
1354 1
< 0.1%
1117 1
< 0.1%
1062 1
< 0.1%
1053 1
< 0.1%
1044 1
< 0.1%
1019 1
< 0.1%
1013 1
< 0.1%
1007 1
< 0.1%
982 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct3096
Distinct (%)11.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-130.04549
Minimum-3350
Maximum7824
Zeros12637
Zeros (%)48.2%
Negative5062
Negative (%)19.3%
Memory size1.4 MiB
2025-05-05T17:37:43.446537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3350
5-th percentile-1986
Q10
median0
Q31
95-th percentile595
Maximum7824
Range11174
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1154.0834
Coefficient of variation (CV)-8.8744592
Kurtosis11.556042
Mean-130.04549
Median Absolute Deviation (MAD)1
Skewness2.1947082
Sum-3407322
Variance1331908.6
MonotonicityNot monotonic
2025-05-05T17:37:43.524531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12637
48.2%
1 2780
 
10.6%
2 1186
 
4.5%
3 749
 
2.9%
-1 214
 
0.8%
4 188
 
0.7%
250 107
 
0.4%
5 88
 
0.3%
100 56
 
0.2%
-2 31
 
0.1%
Other values (3086) 8165
31.2%
ValueCountFrequency (%)
-3350 1
< 0.1%
-3273 1
< 0.1%
-3159 1
< 0.1%
-3089 1
< 0.1%
-3038 1
< 0.1%
-2999 1
< 0.1%
-2981 1
< 0.1%
-2921 1
< 0.1%
-2870 1
< 0.1%
-2856 1
< 0.1%
ValueCountFrequency (%)
7824 1
< 0.1%
7815 1
< 0.1%
7810 1
< 0.1%
7809 1
< 0.1%
7803 1
< 0.1%
7626 1
< 0.1%
7598 1
< 0.1%
7589 1
< 0.1%
7580 1
< 0.1%
7577 1
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct6399
Distinct (%)24.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-122806.13
Minimum-129404
Maximum-116617
Zeros0
Zeros (%)0.0%
Negative26201
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-05T17:37:43.596658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-129404
5-th percentile-128674
Q1-126220
median-122610
Q3-119966
95-th percentile-116838
Maximum-116617
Range12787
Interquartile range (IQR)6254

Descriptive statistics

Standard deviation3726.2091
Coefficient of variation (CV)-0.030342208
Kurtosis-1.1253572
Mean-122806.13
Median Absolute Deviation (MAD)2901
Skewness-0.17177235
Sum-3.2176434 × 109
Variance13884634
MonotonicityDecreasing
2025-05-05T17:37:43.677487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-118913 597
 
2.3%
-122729 426
 
1.6%
-128436 401
 
1.5%
-124534 372
 
1.4%
-128496 370
 
1.4%
-127679 319
 
1.2%
-116678 284
 
1.1%
-122675 254
 
1.0%
-128674 253
 
1.0%
-128414 241
 
0.9%
Other values (6389) 22684
86.6%
ValueCountFrequency (%)
-129404 46
0.2%
-129402 1
 
< 0.1%
-129400 1
 
< 0.1%
-129399 1
 
< 0.1%
-129398 1
 
< 0.1%
-129397 1
 
< 0.1%
-129396 1
 
< 0.1%
-129394 1
 
< 0.1%
-129393 1
 
< 0.1%
-129392 1
 
< 0.1%
ValueCountFrequency (%)
-116617 89
0.3%
-116618 1
 
< 0.1%
-116619 1
 
< 0.1%
-116620 1
 
< 0.1%
-116622 1
 
< 0.1%
-116624 1
 
< 0.1%
-116626 1
 
< 0.1%
-116629 1
 
< 0.1%
-116631 1
 
< 0.1%
-116633 1
 
< 0.1%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct9613
Distinct (%)36.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean21269807
Minimum19924944
Maximum22494020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:43.761701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19924944
5-th percentile20048684
Q120481352
median21329840
Q321981658
95-th percentile22429492
Maximum22494020
Range2569076
Interquartile range (IQR)1500306

Descriptive statistics

Standard deviation795496.43
Coefficient of variation (CV)0.037400266
Kurtosis-1.3219886
Mean21269807
Median Absolute Deviation (MAD)709780
Skewness-0.20452572
Sum5.5729021 × 1011
Variance6.3281457 × 1011
MonotonicityIncreasing
2025-05-05T17:37:43.989429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21603712 728
 
2.8%
20331690 632
 
2.4%
21214540 491
 
1.9%
22464304 481
 
1.8%
22032452 472
 
1.8%
20080496 433
 
1.7%
21887564 395
 
1.5%
21668312 365
 
1.4%
21946060 357
 
1.4%
20085082 332
 
1.3%
Other values (9603) 21515
82.1%
ValueCountFrequency (%)
19924944 113
0.4%
19925136 1
 
< 0.1%
19925376 1
 
< 0.1%
19925570 1
 
< 0.1%
19925788 1
 
< 0.1%
19925960 1
 
< 0.1%
19926124 1
 
< 0.1%
19926342 1
 
< 0.1%
19926508 1
 
< 0.1%
19926682 1
 
< 0.1%
ValueCountFrequency (%)
22494020 93
0.4%
22493940 1
 
< 0.1%
22493826 1
 
< 0.1%
22493706 1
 
< 0.1%
22493588 1
 
< 0.1%
22493492 1
 
< 0.1%
22493372 1
 
< 0.1%
22493222 1
 
< 0.1%
22493056 1
 
< 0.1%
22492894 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct11926
Distinct (%)45.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3523392.8
Minimum3295686
Maximum3744520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:44.069261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3295686
5-th percentile3329275
Q13417131
median3527921
Q33624740
95-th percentile3717377
Maximum3744520
Range448834
Interquartile range (IQR)207609

Descriptive statistics

Standard deviation124719.46
Coefficient of variation (CV)0.035397546
Kurtosis-1.1705038
Mean3523392.8
Median Absolute Deviation (MAD)104214
Skewness-0.035594457
Sum9.2316413 × 1010
Variance1.5554943 × 1010
MonotonicityNot monotonic
2025-05-05T17:37:44.147555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3552033 358
 
1.4%
3510368 266
 
1.0%
3449209 260
 
1.0%
3372155 254
 
1.0%
3575847 253
 
1.0%
3717377 228
 
0.9%
3388102 210
 
0.8%
3457285 201
 
0.8%
3537894 198
 
0.8%
3530226 189
 
0.7%
Other values (11916) 23784
90.8%
ValueCountFrequency (%)
3295686 1
< 0.1%
3295701 1
< 0.1%
3295727 1
< 0.1%
3295769 1
< 0.1%
3295805 1
< 0.1%
3295832 1
< 0.1%
3295863 1
< 0.1%
3295899 1
< 0.1%
3295942 1
< 0.1%
3295995 1
< 0.1%
ValueCountFrequency (%)
3744520 1
< 0.1%
3744487 1
< 0.1%
3744450 1
< 0.1%
3744404 1
< 0.1%
3744350 1
< 0.1%
3744284 1
< 0.1%
3744211 1
< 0.1%
3744132 1
< 0.1%
3744049 1
< 0.1%
3743968 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation 

Distinct22487
Distinct (%)85.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean24670394
Minimum23104012
Maximum26109136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:44.224908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23104012
5-th percentile23261148
Q123778516
median24735152
Q325480048
95-th percentile26018196
Maximum26109136
Range3005124
Interquartile range (IQR)1701532

Descriptive statistics

Standard deviation915836.98
Coefficient of variation (CV)0.037122917
Kurtosis-1.3048998
Mean24670394
Median Absolute Deviation (MAD)816124
Skewness-0.18378633
Sum6.4638898 × 1011
Variance8.3875738 × 1011
MonotonicityNot monotonic
2025-05-05T17:37:44.306301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24709780 27
 
0.1%
25189264 23
 
0.1%
25189262 22
 
0.1%
25032816 15
 
0.1%
25032772 15
 
0.1%
25032776 12
 
< 0.1%
25032712 12
 
< 0.1%
25212472 11
 
< 0.1%
25190568 11
 
< 0.1%
25032820 10
 
< 0.1%
Other values (22477) 26043
99.4%
ValueCountFrequency (%)
23104012 1
< 0.1%
23104028 1
< 0.1%
23104054 1
< 0.1%
23104096 1
< 0.1%
23104132 1
< 0.1%
23104160 1
< 0.1%
23104188 1
< 0.1%
23104224 1
< 0.1%
23104268 1
< 0.1%
23104320 1
< 0.1%
ValueCountFrequency (%)
26109136 1
< 0.1%
26109104 1
< 0.1%
26109064 1
< 0.1%
26109020 1
< 0.1%
26108964 1
< 0.1%
26108900 1
< 0.1%
26108826 1
< 0.1%
26108748 1
< 0.1%
26108664 1
< 0.1%
26108584 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct3134
Distinct (%)12.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-70362.029
Minimum-72340
Maximum-68260
Zeros0
Zeros (%)0.0%
Negative26201
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-05T17:37:44.385801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-72340
5-th percentile-72053
Q1-71386
median-70485
Q3-69590
95-th percentile-68342
Maximum-68260
Range4080
Interquartile range (IQR)1796

Descriptive statistics

Standard deviation1134.5859
Coefficient of variation (CV)-0.016124974
Kurtosis-1.0404346
Mean-70362.029
Median Absolute Deviation (MAD)899
Skewness0.11074676
Sum-1.8435555 × 109
Variance1287285.1
MonotonicityNot monotonic
2025-05-05T17:37:44.465720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-69041 610
 
2.3%
-70874 524
 
2.0%
-69765 430
 
1.6%
-72053 407
 
1.6%
-71826 401
 
1.5%
-72071 374
 
1.4%
-70423 374
 
1.4%
-68288 319
 
1.2%
-71455 297
 
1.1%
-72336 278
 
1.1%
Other values (3124) 22187
84.7%
ValueCountFrequency (%)
-72340 10
 
< 0.1%
-72339 8
 
< 0.1%
-72338 8
 
< 0.1%
-72337 54
 
0.2%
-72336 278
1.1%
-72333 1
 
< 0.1%
-72331 1
 
< 0.1%
-72329 1
 
< 0.1%
-72326 1
 
< 0.1%
-72324 1
 
< 0.1%
ValueCountFrequency (%)
-68260 2
 
< 0.1%
-68261 2
 
< 0.1%
-68262 89
0.3%
-68263 1
 
< 0.1%
-68265 1
 
< 0.1%
-68267 1
 
< 0.1%
-68269 1
 
< 0.1%
-68270 1
 
< 0.1%
-68271 3
 
< 0.1%
-68272 6
 
< 0.1%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct61
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean450.79631
Minimum420
Maximum480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:44.545978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum420
5-th percentile424
Q1436
median453
Q3465
95-th percentile478
Maximum480
Range60
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.332974
Coefficient of variation (CV)0.03844968
Kurtosis-1.1321116
Mean450.79631
Median Absolute Deviation (MAD)14
Skewness-0.1423403
Sum11811314
Variance300.43198
MonotonicityIncreasing
2025-05-05T17:37:44.626029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
425 1512
 
5.8%
448 1318
 
5.0%
468 1069
 
4.1%
480 1030
 
3.9%
429 969
 
3.7%
463 934
 
3.6%
449 882
 
3.4%
458 833
 
3.2%
456 784
 
3.0%
467 781
 
3.0%
Other values (51) 16089
61.4%
ValueCountFrequency (%)
420 291
 
1.1%
421 227
 
0.9%
422 216
 
0.8%
423 278
 
1.1%
424 710
2.7%
425 1512
5.8%
426 546
 
2.1%
427 60
 
0.2%
428 217
 
0.8%
429 969
3.7%
ValueCountFrequency (%)
480 1030
3.9%
479 139
 
0.5%
478 220
 
0.8%
477 389
 
1.5%
476 239
 
0.9%
475 315
 
1.2%
474 169
 
0.6%
473 409
 
1.6%
472 590
2.3%
471 34
 
0.1%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct594
Distinct (%)2.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4643.8526
Minimum4353
Maximum4948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:44.703829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4353
5-th percentile4372
Q14513
median4631
Q34784
95-th percentile4926
Maximum4948
Range595
Interquartile range (IQR)271

Descriptive statistics

Standard deviation174.06319
Coefficient of variation (CV)0.037482497
Kurtosis-1.0777635
Mean4643.8526
Median Absolute Deviation (MAD)130
Skewness0.17965077
Sum1.2167358 × 108
Variance30297.994
MonotonicityIncreasing
2025-05-05T17:37:44.779966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4653 440
 
1.7%
4456 379
 
1.4%
4684 368
 
1.4%
4434 357
 
1.4%
4948 357
 
1.4%
4533 344
 
1.3%
4926 322
 
1.2%
4615 318
 
1.2%
4907 290
 
1.1%
4731 263
 
1.0%
Other values (584) 22763
86.9%
ValueCountFrequency (%)
4353 89
0.3%
4354 144
0.5%
4355 58
 
0.2%
4356 50
 
0.2%
4357 22
 
0.1%
4358 6
 
< 0.1%
4359 9
 
< 0.1%
4360 128
0.5%
4361 197
0.8%
4362 77
 
0.3%
ValueCountFrequency (%)
4948 357
1.4%
4947 42
 
0.2%
4946 93
 
0.4%
4945 73
 
0.3%
4944 65
 
0.2%
4943 11
 
< 0.1%
4942 14
 
0.1%
4941 3
 
< 0.1%
4940 43
 
0.2%
4939 7
 
< 0.1%

Total reactive power [var]
Real number (ℝ)

High correlation 

Distinct2835
Distinct (%)10.8%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-65266.661
Minimum-66911
Maximum-63477
Zeros0
Zeros (%)0.0%
Negative26201
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-05T17:37:44.858243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-66911
5-th percentile-66672
Q1-66104
median-65335
Q3-64626
95-th percentile-63545
Maximum-63477
Range3434
Interquartile range (IQR)1478

Descriptive statistics

Standard deviation949.88401
Coefficient of variation (CV)-0.014553893
Kurtosis-1.0351342
Mean-65266.661
Median Absolute Deviation (MAD)740
Skewness0.15279537
Sum-1.7100518 × 109
Variance902279.63
MonotonicityNot monotonic
2025-05-05T17:37:44.938845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-64792 365
 
1.4%
-64156 323
 
1.2%
-65723 293
 
1.1%
-66423 283
 
1.1%
-65773 265
 
1.0%
-64787 253
 
1.0%
-65774 232
 
0.9%
-65492 226
 
0.9%
-64574 217
 
0.8%
-65760 217
 
0.8%
Other values (2825) 23527
89.8%
ValueCountFrequency (%)
-66911 6
 
< 0.1%
-66910 7
 
< 0.1%
-66909 9
 
< 0.1%
-66908 129
0.5%
-66907 205
0.8%
-66906 2
 
< 0.1%
-66905 1
 
< 0.1%
-66903 1
 
< 0.1%
-66901 1
 
< 0.1%
-66898 1
 
< 0.1%
ValueCountFrequency (%)
-63477 2
 
< 0.1%
-63478 2
 
< 0.1%
-63479 10
< 0.1%
-63480 1
 
< 0.1%
-63481 1
 
< 0.1%
-63483 2
 
< 0.1%
-63484 4
 
< 0.1%
-63485 2
 
< 0.1%
-63486 3
 
< 0.1%
-63487 8
< 0.1%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Zeros 

Distinct22
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16.739476
Minimum0
Maximum912
Zeros25131
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:45.004610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum912
Range912
Interquartile range (IQR)0

Descriptive statistics

Standard deviation102.82298
Coefficient of variation (CV)6.1425446
Kurtosis59.075596
Mean16.739476
Median Absolute Deviation (MAD)0
Skewness7.5325001
Sum438591
Variance10572.564
MonotonicityNot monotonic
2025-05-05T17:37:45.061987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 25131
95.9%
220 420
 
1.6%
895 278
 
1.1%
144 225
 
0.9%
745 31
 
0.1%
224 31
 
0.1%
329 12
 
< 0.1%
754 11
 
< 0.1%
276 11
 
< 0.1%
604 9
 
< 0.1%
Other values (12) 42
 
0.2%
ValueCountFrequency (%)
0 25131
95.9%
121 2
 
< 0.1%
127 1
 
< 0.1%
144 225
 
0.9%
182 3
 
< 0.1%
220 420
 
1.6%
222 5
 
< 0.1%
223 2
 
< 0.1%
224 31
 
0.1%
276 11
 
< 0.1%
ValueCountFrequency (%)
912 1
 
< 0.1%
895 278
1.1%
844 3
 
< 0.1%
754 11
 
< 0.1%
745 31
 
0.1%
604 9
 
< 0.1%
356 6
 
< 0.1%
336 1
 
< 0.1%
333 8
 
< 0.1%
329 12
 
< 0.1%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct21
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.2247624
Minimum0
Maximum3593
Zeros25890
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:45.116420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3593
Range3593
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.798672
Coefficient of variation (CV)13.680928
Kurtosis1329.8161
Mean4.2247624
Median Absolute Deviation (MAD)0
Skewness29.148481
Sum110693
Variance3340.6865
MonotonicityNot monotonic
2025-05-05T17:37:45.175209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 25890
98.8%
251 225
 
0.9%
860 12
 
< 0.1%
1 10
 
< 0.1%
1146 9
 
< 0.1%
2 9
 
< 0.1%
1153 8
 
< 0.1%
81 5
 
< 0.1%
1167 5
 
< 0.1%
171 4
 
< 0.1%
Other values (11) 24
 
0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 25890
98.8%
1 10
 
< 0.1%
2 9
 
< 0.1%
52 3
 
< 0.1%
59 3
 
< 0.1%
81 5
 
< 0.1%
114 1
 
< 0.1%
171 4
 
< 0.1%
185 1
 
< 0.1%
198 2
 
< 0.1%
ValueCountFrequency (%)
3593 2
 
< 0.1%
1174 3
 
< 0.1%
1167 5
 
< 0.1%
1153 8
 
< 0.1%
1146 9
 
< 0.1%
1139 3
 
< 0.1%
1132 1
 
< 0.1%
860 12
 
< 0.1%
263 2
 
< 0.1%
251 225
0.9%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct14
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.3249494
Minimum0
Maximum4161
Zeros26159
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:37:45.230509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4161
Range4161
Interquartile range (IQR)0

Descriptive statistics

Standard deviation60.456028
Coefficient of variation (CV)45.628932
Kurtosis3017.3064
Mean1.3249494
Median Absolute Deviation (MAD)0
Skewness53.764754
Sum34715
Variance3654.9313
MonotonicityNot monotonic
2025-05-05T17:37:45.281786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 26159
99.8%
6 12
 
< 0.1%
215 7
 
< 0.1%
3219 7
 
< 0.1%
1 3
 
< 0.1%
48 3
 
< 0.1%
375 2
 
< 0.1%
1323 2
 
< 0.1%
591 1
 
< 0.1%
577 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 26159
99.8%
1 3
 
< 0.1%
6 12
 
< 0.1%
48 3
 
< 0.1%
215 7
 
< 0.1%
353 1
 
< 0.1%
375 2
 
< 0.1%
483 1
 
< 0.1%
577 1
 
< 0.1%
591 1
 
< 0.1%
ValueCountFrequency (%)
4161 1
 
< 0.1%
3219 7
< 0.1%
1323 2
 
< 0.1%
897 1
 
< 0.1%
591 1
 
< 0.1%
577 1
 
< 0.1%
483 1
 
< 0.1%
375 2
 
< 0.1%
353 1
 
< 0.1%
215 7
< 0.1%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
26201 
True
 
7
ValueCountFrequency (%)
False 26201
> 99.9%
True 7
 
< 0.1%
2025-05-05T17:37:45.320265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-05T17:37:45.606450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.000-0.5330.081-0.636-0.181-0.0730.0300.0330.0370.031-1.000-0.1810.019-0.0050.0070.065-0.723-0.6490.1230.080-0.027-0.201-0.0030.0100.0340.0340.0320.0310.0250.020-0.094-1.000-1.000-0.015-0.027-0.236-0.042-0.039-0.0350.0360.0440.032-0.0010.086-0.087-0.1450.0320.0420.0430.0440.0500.0430.0440.0490.0320.0490.0500.0560.010-0.0050.017-0.013-0.0050.0980.1790.140-0.141-0.150-0.155-1.000-1.000-0.4070.0580.0900.062-0.0430.0390.0190.0120.043-0.0060.042-0.0470.0450.0250.023-0.016-0.0120.0810.0810.0370.0360.018-0.0040.019-0.0080.0490.0010.966-1.000-1.0000.0340.0430.033-0.003-1.000-0.983-0.626-0.043-1.000-1.0000.956-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.0000.5340.0910.6350.1810.073-0.029-0.032-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.648-0.122-0.0780.0280.2020.003-0.009-0.033-0.034-0.032-0.030-0.024-0.0200.0951.0001.0000.0170.0280.2370.0430.0400.036-0.035-0.044-0.0320.001-0.0840.0880.146-0.031-0.042-0.043-0.0430.055-0.043-0.043-0.048-0.031-0.049-0.049-0.056-0.0100.005-0.0160.0130.005-0.098-0.180-0.1410.1420.1510.1561.0001.0000.408-0.056-0.089-0.0610.043-0.039-0.018-0.012-0.0430.006-0.0410.047-0.044-0.025-0.0220.0160.0130.0910.091-0.036-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6250.0421.0001.000-0.9561.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.0000.5340.0850.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0280.2010.002-0.009-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0280.2370.0430.0390.036-0.036-0.044-0.0320.001-0.0850.0870.145-0.032-0.042-0.043-0.0440.055-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1510.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0420.006-0.0410.046-0.044-0.025-0.0230.0160.0120.0850.085-0.036-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0421.0001.000-0.9561.0001.0001.0001.000
Active power limit [W]-0.5330.5340.5341.0000.8660.3400.1780.0480.1270.1330.0940.1320.5330.166-0.084-0.102-0.0600.0920.3440.3140.0670.1530.1470.247-0.001-0.0050.1640.1640.1610.1590.1640.1670.2180.5340.5340.1910.2060.2810.2050.2040.2040.1460.1460.1230.0760.1340.1970.2290.0950.1510.1510.1490.4710.1250.1300.0920.1080.1290.1440.0840.1690.0070.063-0.0310.020-0.017-0.052-0.0330.2290.2390.2430.5330.5330.2010.1410.1080.134-0.1210.0580.110-0.0020.0710.1000.135-0.0460.1450.1010.0520.0160.1440.8660.8660.0960.121-0.0010.0040.1010.0020.1320.043-0.5190.5340.5330.1440.1460.1230.0630.5330.5420.290-0.1230.5340.533-0.5160.5330.5330.5331.000
Active power limit source0.0810.0910.0850.8661.0000.5630.0720.0000.0710.0770.9230.0340.0880.1820.0100.9230.9230.0270.9430.9430.9430.9430.9430.9430.0000.0000.9430.9430.9430.9430.9430.9430.9430.1060.0900.9430.9430.9430.9430.9430.9430.0830.0880.9230.0020.9430.9430.9430.2470.0250.0250.0260.9430.0270.0360.0180.0160.0230.9430.3920.0080.0000.0330.0050.0000.5590.5590.5590.9430.9430.9430.0900.0900.9240.9430.9430.9430.0000.2050.0160.0240.2480.9620.1640.0610.1860.0500.0000.9430.9430.9810.9810.0000.0150.0150.0000.0000.0000.0270.0000.0760.0890.0860.0830.0890.9230.0000.0880.0730.9430.0000.1070.0910.0690.0900.0830.0841.000
Ambient Temp. Avg. [°C]-0.6360.6350.6360.3400.5631.0000.0630.057-0.033-0.030-0.049-0.0080.6360.0770.1010.0930.103-0.0060.8150.8480.4650.0840.4700.293-0.061-0.0210.0190.0080.0060.008-0.0160.0130.1910.6350.6360.0730.1030.3620.0690.0650.061-0.010-0.012-0.020-0.0540.3910.4360.205-0.075-0.007-0.008-0.0100.345-0.040-0.036-0.033-0.050-0.030-0.029-0.027-0.036-0.009-0.011-0.0110.050-0.077-0.106-0.0560.1960.2020.2030.6360.6360.5020.1810.1380.1600.0050.0600.019-0.0880.0320.0450.003-0.021-0.027-0.074-0.083-0.1000.5530.5630.563-0.0890.034-0.100-0.0060.0130.005-0.0280.015-0.6030.6360.636-0.012-0.012-0.020-0.0490.6360.6270.8510.0070.6360.636-0.5930.6360.6360.6361.000
Ambient WindDir Absolute Avg. [°]-0.1810.1810.1810.1780.0720.0631.000-0.0180.0850.0510.100-0.0240.1810.852-0.157-0.102-0.171-0.0350.1540.116-0.0410.0840.0510.116-0.0650.0050.0960.0900.0970.0980.1060.0980.0790.1810.1810.0830.0970.1070.0970.0960.0940.1010.0650.130-0.019-0.0020.0790.1170.1370.0880.0900.0900.0430.0720.0490.0880.0290.0940.0690.1200.0260.106-0.0010.172-0.1690.0310.0060.0240.1110.1080.1040.1810.1810.1070.0440.0530.048-0.0110.0580.0340.0860.0190.0290.017-0.013-0.0170.139-0.032-0.0170.0130.0720.0720.1570.0200.0920.1280.023-0.0490.0960.086-0.1440.1800.1810.1030.0660.130-0.0230.1810.1790.094-0.0100.1810.181-0.1390.1810.1810.1811.000
Ambient WindDir Relative Avg. [°]-0.0730.0730.0730.0480.0000.057-0.0181.000-0.038-0.020-0.0680.0180.073-0.026-0.040-0.064-0.0140.0490.0760.069-0.022-0.004-0.008-0.011-0.0130.021-0.014-0.011-0.016-0.016-0.019-0.0140.0030.0730.073-0.0040.0010.013-0.012-0.011-0.011-0.0160.001-0.0340.114-0.002-0.000-0.014-0.008-0.023-0.024-0.0240.000-0.038-0.021-0.0800.027-0.029-0.009-0.0740.041-0.0050.043-0.0650.041-0.003-0.021-0.015-0.014-0.010-0.0070.0730.0730.042-0.023-0.024-0.023-0.0740.022-0.0390.0650.018-0.0090.073-0.0150.071-0.0190.1310.024-0.0120.0000.0000.005-0.0530.068-0.020-0.0130.065-0.028-0.013-0.0680.0740.073-0.0160.001-0.0330.1100.0730.0730.063-0.0750.0730.073-0.0680.0730.0730.0731.000
Ambient WindSpeed Avg. [m/s]0.030-0.029-0.0290.1270.071-0.0330.085-0.0381.0000.9710.9350.770-0.0290.041-0.486-0.542-0.3990.333-0.156-0.2970.2950.7780.5260.7930.1630.0190.9240.9180.9270.9190.9090.9220.699-0.029-0.0290.8890.8740.7380.9060.9060.9060.9280.9150.8610.2390.5360.6220.8420.7110.9330.9330.9330.0400.9920.9730.8860.8080.9340.9240.8260.7670.2280.3350.093-0.1930.2400.2610.3430.8680.8600.854-0.029-0.0290.1780.7560.7330.7680.003-0.0480.804-0.2460.0530.0510.005-0.0390.0850.8030.201-0.1070.3760.0710.0710.6850.832-0.1320.2610.511-0.2160.9360.3550.020-0.030-0.0290.9240.9150.8620.211-0.029-0.039-0.3280.001-0.029-0.0290.017-0.029-0.029-0.0291.000
Ambient WindSpeed Max. [m/s]0.033-0.032-0.0330.1330.077-0.0300.051-0.0200.9711.0000.8600.870-0.0330.006-0.439-0.547-0.3240.391-0.140-0.2800.2920.7640.5200.7790.1670.0280.9050.9010.9070.8990.8870.9030.678-0.032-0.0330.8750.8610.7280.8910.8910.8920.9050.9200.8000.2970.5270.6130.8280.6740.9160.9160.9160.0450.9740.9810.8290.8460.9140.9280.7680.8040.2310.3790.030-0.1300.2350.2650.3500.8520.8440.839-0.033-0.0330.1770.7520.7250.7620.007-0.0570.799-0.2680.0450.0480.001-0.0320.0820.7660.273-0.1190.3790.0770.0770.6410.829-0.1460.2520.524-0.1720.9170.3680.023-0.034-0.0330.8990.9200.8040.270-0.033-0.043-0.3070.005-0.033-0.0330.019-0.033-0.033-0.0331.000
Ambient WindSpeed Min. [m/s]0.037-0.037-0.0370.0940.923-0.0490.100-0.0680.9350.8601.0000.555-0.0370.059-0.487-0.457-0.4850.173-0.184-0.3090.2660.7140.4730.7240.1510.0090.8540.8430.8580.8500.8440.8520.650-0.037-0.0370.8130.7960.6730.8280.8290.8290.8630.8120.8810.0880.4940.5680.7740.6840.8620.8630.8641.0000.9160.8640.9150.6480.8710.8230.8650.6140.1540.1920.193-0.2860.2200.2310.3020.7970.7890.785-0.037-0.0370.1330.6860.6670.699-0.013-0.0520.733-0.2170.041-0.0220.006-0.0500.0780.7620.061-0.0870.3300.9230.9230.6660.760-0.1320.2170.431-0.2990.8690.2610.029-0.037-0.0370.8620.8140.8790.064-0.037-0.043-0.340-0.016-0.037-0.0370.026-0.037-0.037-0.0371.000
Ambient WindSpeed StdDev [m/s]0.031-0.031-0.0310.1320.034-0.008-0.0240.0180.7700.8700.5551.000-0.031-0.066-0.206-0.431-0.0310.544-0.085-0.2000.2610.6310.4410.6420.1670.0330.7270.7330.7270.7200.7050.7270.566-0.031-0.0310.7180.7100.6050.7320.7310.7320.7190.8000.5340.4160.4480.5210.6800.4550.7410.7400.7380.0190.7930.8550.5660.8160.7320.8000.5060.7760.2180.465-0.1460.0780.1870.2290.3020.6940.6870.683-0.031-0.0310.1310.6420.6080.6470.032-0.0690.664-0.2830.0300.038-0.023-0.0190.0570.5440.416-0.1340.3490.0340.0340.4270.710-0.1680.2080.492-0.0180.7350.3700.020-0.032-0.0310.7090.7970.5420.389-0.031-0.042-0.2120.029-0.031-0.0310.015-0.031-0.031-0.0311.000
Ambient ok hours [h]-1.0001.0001.0000.5330.0880.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0270.2010.003-0.010-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0270.2370.0430.0390.036-0.036-0.044-0.0320.001-0.0850.0870.145-0.032-0.042-0.043-0.0440.054-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1500.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0430.006-0.0420.047-0.045-0.025-0.0230.0160.0120.0880.088-0.037-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0431.0001.000-0.9561.0001.0001.0001.000
Avg. direction [°]-0.1810.1810.1810.1660.1820.0770.852-0.0260.0410.0060.059-0.0660.1811.000-0.111-0.052-0.128-0.0890.1550.133-0.0340.0400.0400.092-0.0650.0100.0550.0480.0560.0550.0640.0580.0480.1810.1810.0400.0550.0800.0550.0540.0520.0580.0190.084-0.066-0.0270.0580.0850.1010.0460.0470.0470.0990.0320.0070.070-0.0160.0590.0310.101-0.0190.068-0.0440.150-0.1540.0280.0030.0130.0810.0750.0690.1810.1810.1140.0240.0310.0250.0230.0930.0210.0420.0570.051-0.014-0.050-0.0520.094-0.086-0.0290.0130.1820.1820.1030.0080.0520.0880.013-0.0690.0610.054-0.1530.1800.1810.0590.0210.084-0.0630.1810.1770.1210.0270.1820.181-0.1480.1810.1810.1811.000
Blades PitchAngle Avg. [°]0.019-0.019-0.019-0.0840.0100.101-0.157-0.040-0.486-0.439-0.487-0.206-0.019-0.1111.0000.8800.9300.0470.0410.1600.011-0.435-0.203-0.3830.1760.063-0.551-0.535-0.559-0.558-0.555-0.549-0.261-0.019-0.019-0.491-0.488-0.361-0.491-0.492-0.493-0.580-0.514-0.591-0.348-0.174-0.224-0.452-0.714-0.558-0.560-0.5610.000-0.476-0.445-0.413-0.543-0.556-0.525-0.508-0.598-0.286-0.124-0.3420.506-0.141-0.107-0.168-0.456-0.450-0.448-0.019-0.019-0.304-0.283-0.323-0.3000.339-0.268-0.330-0.304-0.217-0.028-0.3380.216-0.292-0.719-0.115-0.037-0.0360.0100.010-0.744-0.215-0.389-0.328-0.0970.151-0.557-0.1870.014-0.020-0.020-0.588-0.516-0.592-0.328-0.019-0.0120.2400.339-0.019-0.0190.015-0.019-0.019-0.0191.000
Blades PitchAngle Max. [°]-0.0050.0050.005-0.1020.9230.093-0.102-0.064-0.542-0.547-0.457-0.4310.005-0.0520.8801.0000.754-0.2280.0500.175-0.042-0.523-0.264-0.4520.1620.051-0.615-0.601-0.622-0.620-0.614-0.612-0.3180.0050.005-0.560-0.558-0.427-0.563-0.563-0.565-0.642-0.627-0.566-0.439-0.238-0.290-0.541-0.742-0.629-0.629-0.6301.000-0.543-0.557-0.380-0.710-0.620-0.636-0.464-0.765-0.338-0.235-0.2690.427-0.157-0.131-0.198-0.525-0.517-0.5160.0050.005-0.282-0.356-0.382-0.3710.334-0.271-0.369-0.302-0.224-0.054-0.3390.215-0.299-0.755-0.2860.003-0.1010.9230.923-0.757-0.289-0.409-0.344-0.1980.065-0.623-0.270-0.0030.0050.005-0.641-0.628-0.571-0.4120.0050.0140.2510.3330.0050.0050.0000.0050.0050.0051.000
Blades PitchAngle Min. [°]0.007-0.007-0.007-0.0600.9230.103-0.171-0.014-0.399-0.324-0.485-0.031-0.007-0.1280.9300.7541.0000.2030.0580.1560.029-0.375-0.158-0.3050.1800.068-0.462-0.441-0.469-0.469-0.472-0.459-0.203-0.007-0.007-0.401-0.397-0.285-0.401-0.402-0.403-0.490-0.381-0.577-0.132-0.137-0.175-0.379-0.702-0.465-0.468-0.4701.000-0.385-0.322-0.422-0.371-0.470-0.404-0.544-0.424-0.1940.068-0.4760.649-0.106-0.064-0.114-0.371-0.365-0.365-0.007-0.007-0.234-0.204-0.245-0.2210.342-0.257-0.221-0.367-0.2040.022-0.3310.218-0.283-0.659-0.005-0.059-0.0050.9230.923-0.732-0.116-0.398-0.294-0.0010.271-0.469-0.0800.002-0.007-0.007-0.497-0.384-0.575-0.115-0.007-0.0030.2330.342-0.007-0.0070.002-0.007-0.007-0.0071.000
Blades PitchAngle StdDev [°]0.065-0.065-0.0650.0920.027-0.006-0.0350.0490.3330.3910.1730.544-0.065-0.0890.047-0.2280.2031.000-0.055-0.0980.1670.4210.2640.334-0.034-0.0050.3920.4080.3790.3960.3950.3810.343-0.065-0.0650.3970.4000.3350.4030.4030.4030.3920.5000.2580.3060.2920.3160.3840.2030.4020.4030.4020.0000.3390.4300.0370.4530.3870.4730.0770.4780.3870.604-0.1010.1680.0600.0720.1110.3630.3610.362-0.065-0.065-0.0170.3240.3010.324-0.1600.1190.2550.1530.1090.0270.164-0.1050.1610.2190.474-0.0620.2230.0270.0270.2970.3440.1200.3070.2960.4130.3890.4320.054-0.065-0.0650.3820.4960.2630.272-0.065-0.066-0.118-0.157-0.065-0.0650.051-0.065-0.065-0.0651.000
Controller Ground Temp. Avg. [°C]-0.7230.7230.7230.3440.9430.8150.1540.076-0.156-0.140-0.184-0.0850.7230.1550.0410.0500.058-0.0551.0000.9000.158-0.1160.2030.127-0.062-0.007-0.118-0.124-0.124-0.121-0.132-0.1170.0340.7230.723-0.088-0.0620.185-0.077-0.081-0.085-0.129-0.123-0.1410.0020.0990.2020.058-0.114-0.128-0.130-0.1310.577-0.163-0.153-0.174-0.106-0.150-0.140-0.161-0.0770.005-0.0290.0060.027-0.131-0.160-0.1230.0470.0540.0560.7230.7230.486-0.036-0.058-0.048-0.0010.051-0.1150.0330.0160.0430.009-0.006-0.021-0.128-0.042-0.0210.2620.9430.943-0.119-0.1300.017-0.002-0.0870.054-0.148-0.024-0.6810.7230.723-0.128-0.124-0.1400.0060.7230.7230.8680.0000.7230.723-0.6690.7230.7230.7231.000
Controller Hub Temp. Avg. [°C]-0.6490.6480.6490.3140.9430.8480.1160.069-0.297-0.280-0.309-0.2000.6490.1330.1600.1750.156-0.0980.9001.0000.238-0.1970.2070.029-0.089-0.015-0.241-0.250-0.250-0.248-0.262-0.244-0.0460.6480.649-0.207-0.1740.105-0.206-0.210-0.215-0.256-0.247-0.260-0.0470.1220.172-0.054-0.238-0.254-0.255-0.2560.577-0.303-0.293-0.285-0.255-0.276-0.267-0.263-0.213-0.054-0.083-0.0360.084-0.156-0.181-0.156-0.071-0.063-0.0600.6490.6490.434-0.094-0.119-0.112-0.0200.089-0.2160.0310.0460.0440.028-0.038-0.010-0.266-0.093-0.0130.3160.9430.943-0.244-0.2210.000-0.067-0.1370.076-0.275-0.081-0.6120.6480.649-0.256-0.248-0.260-0.0360.6490.6410.983-0.0180.6490.649-0.6000.6490.6490.6491.000
Controller Top Temp. Avg. [°C]0.123-0.122-0.1220.0670.9430.465-0.041-0.0220.2950.2920.2660.261-0.122-0.0340.011-0.0420.0290.1670.1580.2381.0000.5260.8900.461-0.0370.0410.3580.3410.3370.3300.2900.3370.403-0.122-0.1220.4100.4390.4830.3630.3620.3590.3000.3000.272-0.0100.8950.7390.4040.1520.3120.3110.3100.5770.2960.3010.2710.2310.2960.2970.2780.2040.0970.1360.025-0.0150.0810.1270.1580.4020.3940.385-0.122-0.1220.3520.6430.5990.6180.0200.0830.296-0.1820.0590.046-0.011-0.051-0.0430.1840.009-0.2270.9560.9430.9430.1410.340-0.1620.1110.206-0.0610.2980.1760.096-0.123-0.1220.2950.2990.272-0.012-0.122-0.1430.2580.023-0.122-0.1220.092-0.122-0.122-0.1221.000
Controller VCP ChokecoilTemp. Avg. [°C]0.080-0.078-0.0790.1530.9430.0840.084-0.0040.7780.7640.7140.631-0.0790.040-0.435-0.523-0.3750.421-0.116-0.1970.5261.0000.7570.804-0.074-0.0220.8730.8660.8630.8640.8420.8640.724-0.078-0.0790.9180.9270.7980.8900.8910.8930.8270.8060.7710.1850.7450.7650.8360.6550.8300.8310.8300.5770.7770.7730.6700.6830.8200.8140.7140.6930.2640.3040.149-0.2240.1780.1920.2720.8290.8250.825-0.079-0.0790.2840.8360.8100.839-0.2480.1930.651-0.0790.1810.0550.253-0.1720.2400.6880.224-0.1280.6080.9430.9430.6680.692-0.0080.3000.433-0.1480.8220.3580.068-0.079-0.0790.8230.8060.7730.154-0.079-0.092-0.215-0.248-0.079-0.0790.066-0.079-0.079-0.0791.000
Controller VCP Temp. Avg. [°C]-0.0270.0280.0280.1470.9430.4700.051-0.0080.5260.5200.4730.4410.0270.040-0.203-0.264-0.1580.2640.2030.2070.8900.7571.0000.718-0.0770.0350.6100.5950.5910.5860.5490.5930.5790.0280.0280.6720.6990.7240.6380.6360.6330.5490.5370.5050.0760.9300.8620.6720.3860.5540.5550.5530.5770.5250.5280.4530.4580.5460.5430.4880.4340.2210.2440.109-0.1270.1080.1380.2050.6690.6610.6530.0270.0270.5040.8020.7660.783-0.0430.1200.483-0.1640.0750.0460.051-0.0650.0000.4290.094-0.2250.9350.9430.9430.3880.519-0.1180.2470.319-0.1040.5490.306-0.0410.0270.0280.5440.5370.5060.0640.0270.0060.211-0.0400.0280.027-0.0420.0270.0270.0271.000
Controller VCP WaterTemp. Avg. [°C]-0.2010.2020.2010.2470.9430.2930.116-0.0110.7930.7790.7240.6420.2010.092-0.383-0.452-0.3050.3340.1270.0290.4610.8040.7181.000-0.0400.0200.8520.8470.8430.8420.8270.8490.7160.2020.2010.8950.8940.9690.9130.9110.9070.8160.8000.7490.1710.6590.7720.9700.5960.8160.8180.8170.5770.7890.7850.6930.6810.8180.8100.7180.6670.2510.3300.093-0.1590.1790.1820.2780.9770.9770.9750.2010.2010.4190.8060.7650.808-0.1060.1350.726-0.2440.1130.0500.113-0.1030.0850.6560.157-0.1620.5820.9430.9430.5890.757-0.1570.2790.462-0.1620.8210.374-0.2040.2010.2010.8120.8000.7500.1500.2010.1940.013-0.1040.2020.201-0.2050.2010.2010.2011.000
First Alarm parameter 1 in 10 min frame-0.0030.0030.002-0.0010.000-0.061-0.065-0.0130.1630.1670.1510.1670.003-0.0650.1760.1620.180-0.034-0.062-0.089-0.037-0.074-0.077-0.0401.0000.364-0.064-0.058-0.063-0.088-0.092-0.057-0.0880.0030.002-0.008-0.023-0.054-0.013-0.012-0.010-0.108-0.044-0.1470.049-0.058-0.026-0.049-0.085-0.075-0.077-0.0760.0000.1610.1390.144-0.056-0.075-0.053-0.121-0.047-0.140-0.041-0.1350.121-0.0010.008-0.011-0.044-0.042-0.0430.0030.003-0.1390.015-0.0120.0160.527-0.496-0.037-0.096-0.0260.004-0.5190.002-0.121-0.0900.018-0.012-0.0650.0000.000-0.169-0.015-0.089-0.144-0.032-0.030-0.075-0.121-0.0070.0010.002-0.109-0.045-0.1490.0480.003-0.006-0.0790.5200.0030.003-0.0110.0030.0030.0031.000
First Alarm parameter 2 in 10 min frame0.010-0.009-0.009-0.0050.000-0.0210.0050.0210.0190.0280.0090.033-0.0100.0100.0630.0510.068-0.005-0.007-0.0150.041-0.0220.0350.0200.3641.000-0.011-0.004-0.011-0.024-0.019-0.006-0.021-0.009-0.0090.0080.007-0.0220.0040.0040.002-0.050-0.035-0.058-0.0040.0140.0250.011-0.029-0.045-0.045-0.0450.0000.0210.0260.0110.021-0.031-0.026-0.033-0.0340.0230.0140.0180.003-0.016-0.016-0.0190.0100.010-0.001-0.010-0.0100.0270.0190.0090.0160.192-0.033-0.020-0.030-0.0720.001-0.1890.002-0.1330.002-0.014-0.0090.0370.0000.000-0.039-0.019-0.0270.025-0.015-0.003-0.0310.0180.011-0.009-0.009-0.050-0.035-0.062-0.006-0.009-0.012-0.0090.196-0.009-0.0100.010-0.010-0.010-0.0101.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.034-0.033-0.0330.1640.9430.0190.096-0.0140.9240.9050.8540.727-0.0330.055-0.551-0.615-0.4620.392-0.118-0.2410.3580.8730.6100.852-0.064-0.0111.0000.9950.9960.9940.9840.9950.801-0.033-0.0330.9600.9530.8210.9680.9690.9700.9760.9530.9090.2510.6300.7030.8970.7410.9760.9770.9770.5770.9220.9130.8160.8100.9690.9580.8480.8190.2730.3740.102-0.2020.2300.2470.3400.9210.9160.913-0.033-0.0330.2530.8200.8030.831-0.2590.2130.834-0.2090.2010.0560.264-0.1920.2480.7930.210-0.0980.4600.9430.9430.7430.856-0.1060.3070.523-0.1880.9720.3980.028-0.033-0.0330.9740.9530.9120.220-0.033-0.041-0.277-0.258-0.033-0.0330.025-0.033-0.033-0.0331.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.034-0.034-0.0340.1640.9430.0080.090-0.0110.9180.9010.8430.733-0.0340.048-0.535-0.601-0.4410.408-0.124-0.2500.3410.8660.5950.847-0.058-0.0040.9951.0000.9930.9910.9830.9920.802-0.034-0.0340.9580.9500.8140.9670.9680.9680.9710.9520.9010.2580.6150.6910.8890.7170.9680.9700.9700.5770.9160.9110.8010.8090.9620.9550.8330.8180.2820.3950.083-0.1750.2270.2460.3380.9160.9120.908-0.034-0.0340.2450.8140.7960.825-0.2550.2110.835-0.2190.2000.0550.261-0.1920.2460.7710.220-0.0950.4430.9430.9430.7260.858-0.1170.3160.524-0.1670.9650.4110.028-0.034-0.0340.9700.9520.9040.226-0.034-0.041-0.285-0.254-0.034-0.0340.026-0.034-0.034-0.0341.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.032-0.032-0.0320.1610.9430.0060.097-0.0160.9270.9070.8580.727-0.0320.056-0.559-0.622-0.4690.379-0.124-0.2500.3370.8630.5910.843-0.063-0.0110.9960.9931.0000.9930.9850.9960.803-0.032-0.0320.9540.9460.8090.9640.9650.9660.9760.9520.9090.2520.6100.6870.8910.7420.9770.9780.9770.5770.9250.9140.8230.8120.9700.9580.8530.8200.2660.3670.104-0.2050.2330.2500.3420.9150.9100.907-0.032-0.0320.2480.8070.7910.819-0.2540.2070.834-0.2140.1950.0550.259-0.1870.2440.8010.204-0.0910.4390.9430.9430.7400.854-0.1060.3010.520-0.1970.9720.3900.026-0.032-0.0320.9750.9520.9120.221-0.032-0.039-0.286-0.253-0.032-0.0320.024-0.032-0.032-0.0321.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.031-0.030-0.0310.1590.9430.0080.098-0.0160.9190.8990.8500.720-0.0310.055-0.558-0.620-0.4690.396-0.121-0.2480.3300.8640.5860.842-0.088-0.0240.9940.9910.9931.0000.9890.9910.802-0.030-0.0310.9510.9440.8090.9620.9620.9630.9790.9530.9130.2470.6060.6810.8910.7430.9760.9770.9770.5770.9160.9070.8110.8080.9700.9580.8510.8180.2800.3760.110-0.2080.2310.2470.3400.9140.9090.906-0.031-0.0310.2410.7980.7830.810-0.2730.2250.831-0.2000.2020.0570.278-0.1940.2540.7970.211-0.0890.4340.9430.9430.7510.853-0.0980.3150.520-0.1850.9730.4020.025-0.031-0.0300.9770.9530.9160.215-0.031-0.037-0.285-0.272-0.031-0.0310.022-0.031-0.031-0.0311.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.025-0.024-0.0250.1640.943-0.0160.106-0.0190.9090.8870.8440.705-0.0250.064-0.555-0.614-0.4720.395-0.132-0.2620.2900.8420.5490.827-0.092-0.0190.9840.9830.9850.9891.0000.9840.800-0.024-0.0250.9400.9320.7900.9530.9540.9540.9710.9400.9130.2210.5680.6500.8780.7410.9650.9670.9670.5770.9060.8950.8020.7980.9610.9480.8460.8100.2860.3750.116-0.2120.2280.2410.3340.9020.8970.894-0.025-0.0250.2270.7740.7600.787-0.2740.2270.829-0.1970.2010.0560.280-0.1920.2530.7890.208-0.0760.3940.9430.9430.7530.849-0.1040.3230.515-0.1800.9640.4060.019-0.025-0.0240.9690.9400.9150.189-0.025-0.031-0.301-0.273-0.025-0.0250.016-0.025-0.025-0.0251.000
Gear Oil TemperatureBasis Avg. [°C]0.020-0.020-0.0200.1670.9430.0130.098-0.0140.9220.9030.8520.727-0.0200.058-0.549-0.612-0.4590.381-0.117-0.2440.3370.8640.5930.849-0.057-0.0060.9950.9920.9960.9910.9841.0000.807-0.020-0.0200.9570.9500.8150.9670.9670.9680.9710.9480.9030.2530.6100.6900.8930.7360.9710.9720.9720.5770.9200.9110.8170.8080.9640.9530.8460.8160.2640.3690.098-0.1990.2300.2460.3390.9170.9130.909-0.020-0.0200.2520.8100.7930.822-0.2490.2040.833-0.2180.1930.0550.255-0.1850.2410.7920.205-0.0930.4410.9430.9430.7340.853-0.1110.2990.520-0.1940.9670.3900.015-0.020-0.0200.9690.9480.9060.223-0.020-0.027-0.279-0.249-0.020-0.0200.012-0.020-0.020-0.0201.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.0940.0950.0950.2180.9430.1910.0790.0030.6990.6780.6500.5660.0950.048-0.261-0.318-0.2030.3430.034-0.0460.4030.7240.5790.716-0.088-0.0210.8010.8020.8030.8020.8000.8071.0000.0950.0950.7980.8000.7210.7890.7890.7900.7620.7490.7300.1100.6240.6890.7190.4450.7590.7590.7580.5770.6900.6890.6370.5800.7370.7350.6670.5920.1550.334-0.014-0.0080.1750.1950.2770.7500.7530.7530.0950.0950.2720.7400.7090.743-0.2620.2110.728-0.3420.1800.0590.268-0.1690.2380.4900.137-0.1000.5160.9430.9430.4540.769-0.3030.1930.442-0.1190.7400.307-0.0870.0950.0950.7620.7480.7310.0780.0950.088-0.053-0.2610.0950.095-0.0870.0950.0950.0951.000
Generator 1 hours [h]-1.0001.0001.0000.5340.1060.6350.1810.073-0.029-0.032-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.648-0.122-0.0780.0280.2020.003-0.009-0.033-0.034-0.032-0.030-0.024-0.0200.0951.0001.0000.0170.0280.2370.0430.0400.036-0.035-0.044-0.0320.001-0.0840.0880.146-0.031-0.042-0.043-0.0430.063-0.043-0.043-0.048-0.031-0.049-0.049-0.056-0.0100.005-0.0160.0130.005-0.098-0.180-0.1410.1420.1510.1561.0001.0000.408-0.056-0.089-0.0610.043-0.039-0.018-0.012-0.0430.006-0.0410.047-0.044-0.025-0.0220.0160.0130.1060.106-0.036-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6250.0421.0001.000-0.9561.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.0000.5340.0900.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0280.2010.002-0.009-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0280.2370.0430.0390.036-0.036-0.044-0.0320.001-0.0850.0870.145-0.032-0.042-0.043-0.0440.055-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1510.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0420.006-0.0410.046-0.044-0.025-0.0230.0160.0120.0900.090-0.036-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0421.0001.000-0.9561.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]-0.0150.0170.0160.1910.9430.0730.083-0.0040.8890.8750.8130.7180.0160.040-0.491-0.560-0.4010.397-0.088-0.2070.4100.9180.6720.895-0.0080.0080.9600.9580.9540.9510.9400.9570.7980.0170.0161.0000.9950.8770.9890.9890.9900.9180.9030.8520.2380.6680.7500.9150.6790.9180.9200.9190.5770.8860.8810.7700.7750.9080.9040.7850.7780.2620.3810.066-0.1530.2080.2200.3150.9340.9330.9320.0160.0160.3140.8710.8400.879-0.2060.1560.807-0.2270.1720.0540.212-0.1630.2210.7350.227-0.1190.5170.9430.9430.6820.827-0.1380.2930.507-0.1550.9110.390-0.0210.0160.0160.9170.9020.8550.2070.0160.006-0.231-0.2060.0160.016-0.0230.0160.0160.0161.000
Generator Bearing2 Temp. Avg. [°C]-0.0270.0280.0280.2060.9430.1030.0970.0010.8740.8610.7960.7100.0270.055-0.488-0.558-0.3970.400-0.062-0.1740.4390.9270.6990.894-0.0230.0070.9530.9500.9460.9440.9320.9500.8000.0280.0280.9951.0000.8810.9820.9830.9830.9100.8940.8450.2400.6920.7640.9090.6710.9070.9090.9080.5770.8700.8670.7520.7680.8970.8950.7730.7730.2620.3830.062-0.1460.2040.2170.3120.9290.9280.9270.0270.0270.3350.8750.8440.882-0.2180.1690.802-0.2250.1780.0540.224-0.1690.2270.7230.230-0.1200.5480.9430.9430.6760.820-0.1400.2920.504-0.1470.9000.390-0.0310.0280.0280.9090.8940.8470.2080.0270.017-0.197-0.2180.0280.027-0.0330.0270.0270.0271.000
Generator CoolingWater Temp. Avg. [°C]-0.2360.2370.2370.2810.9430.3620.1070.0130.7380.7280.6730.6050.2370.080-0.361-0.427-0.2850.3350.1850.1050.4830.7980.7240.969-0.054-0.0220.8210.8140.8090.8090.7900.8150.7210.2370.2370.8770.8811.0000.8830.8810.8790.7800.7680.7170.1840.6990.7940.9340.5470.7820.7830.7820.5770.7330.7310.6440.6300.7670.7630.6640.6430.1900.3060.026-0.0920.1620.1630.2600.9430.9510.9560.2370.2370.4260.8050.7600.806-0.2000.1620.701-0.2450.1490.0570.206-0.1400.1940.5920.161-0.1410.6190.9430.9430.5370.729-0.1670.2110.448-0.1330.7700.320-0.2310.2370.2370.7780.7680.7180.1610.2370.2280.091-0.1990.2370.237-0.2310.2370.2370.2371.000
Generator Phase1 Temp. Avg. [°C]-0.0420.0430.0430.2050.9430.0690.097-0.0120.9060.8910.8280.7320.0430.055-0.491-0.563-0.4010.403-0.077-0.2060.3630.8900.6380.913-0.0130.0040.9680.9670.9640.9620.9530.9670.7890.0430.0430.9890.9820.8831.0000.9990.9990.9320.9160.8650.2270.6270.7240.9380.7010.9340.9360.9350.5770.9030.8970.7870.7880.9290.9230.8060.7870.2710.3860.079-0.1690.2140.2250.3210.9570.9550.9520.0430.0430.3030.8440.8160.854-0.1860.1460.824-0.2340.1540.0520.193-0.1450.1940.7560.222-0.1190.4750.9430.9430.7010.846-0.1440.3040.518-0.1710.9320.402-0.0470.0430.0430.9310.9160.8670.1970.0430.036-0.234-0.1860.0430.043-0.0500.0430.0430.0431.000
Generator Phase2 Temp. Avg. [°C]-0.0390.0400.0390.2040.9430.0650.096-0.0110.9060.8910.8290.7310.0390.054-0.492-0.563-0.4020.403-0.081-0.2100.3620.8910.6360.911-0.0120.0040.9690.9680.9650.9620.9540.9670.7890.0400.0390.9890.9830.8810.9991.0000.9990.9330.9170.8650.2280.6270.7230.9360.7010.9350.9360.9360.5770.9030.8970.7870.7880.9290.9230.8060.7880.2700.3860.078-0.1680.2150.2250.3210.9550.9530.9510.0390.0390.3010.8440.8160.854-0.1890.1470.824-0.2330.1560.0520.195-0.1470.1980.7560.222-0.1170.4730.9430.9430.7010.847-0.1430.3030.518-0.1710.9320.401-0.0440.0400.0400.9310.9170.8680.1980.0390.032-0.238-0.1890.0400.039-0.0460.0390.0390.0391.000
Generator Phase3 Temp. Avg. [°C]-0.0350.0360.0360.2040.9430.0610.094-0.0110.9060.8920.8290.7320.0360.052-0.493-0.565-0.4030.403-0.085-0.2150.3590.8930.6330.907-0.0100.0020.9700.9680.9660.9630.9540.9680.7900.0360.0360.9900.9830.8790.9990.9991.0000.9340.9180.8660.2310.6260.7210.9340.7010.9360.9370.9370.5770.9040.8980.7880.7880.9290.9240.8060.7890.2660.3840.075-0.1660.2140.2250.3200.9530.9510.9490.0360.0360.2970.8440.8170.855-0.1940.1490.824-0.2330.1600.0530.201-0.1500.2050.7560.223-0.1150.4700.9430.9430.7010.846-0.1420.2990.518-0.1700.9320.398-0.0400.0360.0360.9320.9180.8680.2000.0360.029-0.242-0.1940.0360.036-0.0430.0360.0360.0361.000
Generator RPM Avg. [RPM]0.036-0.035-0.0360.1460.083-0.0100.101-0.0160.9280.9050.8630.719-0.0360.058-0.580-0.642-0.4900.392-0.129-0.2560.3000.8270.5490.816-0.108-0.0500.9760.9710.9760.9790.9710.9710.762-0.035-0.0360.9180.9100.7800.9320.9330.9341.0000.9660.9320.2600.5730.6450.8710.7500.9820.9830.9840.0450.9220.9140.8140.8190.9780.9670.8580.8270.2850.3740.123-0.2210.2370.2530.3440.8970.8910.889-0.036-0.0360.2240.7670.7540.779-0.2840.2330.829-0.1890.2080.0560.289-0.1990.2650.7950.220-0.0890.4000.0830.0830.7610.849-0.0840.3180.518-0.1760.9810.4010.029-0.036-0.0350.9960.9670.9350.226-0.036-0.042-0.295-0.284-0.036-0.0360.027-0.036-0.036-0.0361.000
Generator RPM Max. [RPM]0.044-0.044-0.0440.1460.088-0.0120.0650.0010.9150.9200.8120.800-0.0440.019-0.514-0.627-0.3810.500-0.123-0.2470.3000.8060.5370.800-0.044-0.0350.9530.9520.9520.9530.9400.9480.749-0.044-0.0440.9030.8940.7680.9160.9170.9180.9661.0000.8560.4000.5640.6360.8520.6790.9690.9690.9690.0470.9140.9360.7530.8570.9610.9840.7710.8700.2880.4790.012-0.0970.2340.2560.3450.8800.8740.872-0.044-0.0440.2060.7670.7490.778-0.2430.1960.824-0.2160.2020.0570.248-0.1940.2480.7490.304-0.0970.4000.0880.0880.6880.850-0.0990.2930.543-0.0700.9630.4200.036-0.044-0.0430.9620.9990.8600.367-0.044-0.051-0.282-0.241-0.044-0.0440.033-0.044-0.044-0.0441.000
Generator RPM Min. [RPM]0.032-0.032-0.0320.1230.923-0.0200.130-0.0340.8610.8000.8810.534-0.0320.084-0.591-0.566-0.5770.258-0.141-0.2600.2720.7710.5050.749-0.147-0.0580.9090.9010.9090.9130.9130.9030.730-0.032-0.0320.8520.8450.7170.8650.8650.8660.9320.8561.0000.0570.5330.5970.7970.7260.9070.9100.9111.0000.8460.8080.8290.6960.9130.8640.9050.7010.2400.2590.238-0.3260.2220.2300.3150.8300.8250.823-0.032-0.0320.2070.7050.6960.717-0.3040.2250.789-0.1690.184-0.0220.294-0.1980.2570.7370.109-0.0800.3600.9230.9230.7690.793-0.1240.3170.454-0.2700.9120.3420.028-0.032-0.0320.9390.8580.9980.028-0.032-0.036-0.304-0.305-0.032-0.0320.025-0.032-0.032-0.0321.000
Generator RPM StdDev [RPM]-0.0010.0010.0010.0760.002-0.054-0.0190.1140.2390.2970.0880.4160.001-0.066-0.348-0.439-0.1320.3060.002-0.047-0.0100.1850.0760.1710.049-0.0040.2510.2580.2520.2470.2210.2530.1100.0010.0010.2380.2400.1840.2270.2280.2310.2600.4000.0571.0000.0850.1000.1810.1110.2730.2700.2680.0000.2400.3120.0430.3920.2390.329-0.0110.4390.1020.425-0.2850.2340.0730.0760.0980.1960.2010.2040.0010.0000.1150.1520.1610.159-0.1490.0960.1550.0520.1480.0510.155-0.1410.1990.2560.3310.0510.0240.0020.0020.1260.1050.1940.0110.1660.2380.2410.1270.0040.0000.0010.2470.3990.0610.9880.001-0.008-0.072-0.1490.0000.0000.0030.0010.0000.0011.000
Generator SlipRing Temp. Avg. [°C]0.086-0.084-0.0850.1340.9430.391-0.002-0.0020.5360.5270.4940.448-0.085-0.027-0.174-0.238-0.1370.2920.0990.1220.8950.7450.9300.659-0.0580.0140.6300.6150.6100.6060.5680.6100.624-0.084-0.0850.6680.6920.6990.6270.6270.6260.5730.5640.5330.0851.0000.8530.6300.3620.5810.5820.5800.5770.5340.5340.4800.4390.5540.5520.4950.4400.1280.2180.019-0.0460.1230.1650.2260.6340.6340.632-0.085-0.0850.3710.8080.7700.792-0.1740.1530.512-0.2010.1340.0540.181-0.1250.1610.3950.097-0.1900.9340.9430.9430.3550.558-0.1620.1510.337-0.0970.5560.2390.071-0.086-0.0850.5680.5640.5330.066-0.085-0.1080.127-0.173-0.085-0.0850.069-0.085-0.085-0.0851.000
Grid Busbar Temp. Avg. [°C]-0.0870.0880.0870.1970.9430.4360.079-0.0000.6220.6130.5680.5210.0870.058-0.224-0.290-0.1750.3160.2020.1720.7390.7650.8620.772-0.0260.0250.7030.6910.6870.6810.6500.6900.6890.0880.0870.7500.7640.7940.7240.7230.7210.6450.6360.5970.1000.8531.0000.7420.4320.6550.6550.6530.5770.6180.6160.5520.5070.6330.6300.5640.5040.1810.2600.062-0.0930.1360.1640.2410.7450.7430.7400.0870.0870.4100.8200.7720.810-0.1180.1410.570-0.2080.1340.0530.125-0.1260.1100.4700.124-0.2020.8300.9430.9430.4230.617-0.1600.2100.374-0.1220.6360.293-0.0900.0870.0870.6400.6350.5980.0810.0870.0730.171-0.1160.0880.087-0.0900.0870.0870.0871.000
Grid InverterPhase1 Temp. Avg. [°C]-0.1450.1460.1450.2290.9430.2050.117-0.0140.8420.8280.7740.6800.1450.085-0.452-0.541-0.3790.3840.058-0.0540.4040.8360.6720.970-0.0490.0110.8970.8890.8910.8910.8780.8930.7190.1460.1450.9150.9090.9340.9380.9360.9340.8710.8520.7970.1810.6300.7421.0000.6990.8760.8770.8770.5770.8400.8330.7360.7300.8780.8680.7720.7230.2740.3060.167-0.2580.1880.1880.2830.9810.9770.9750.1450.1450.3550.7890.7550.795-0.1550.1600.714-0.1480.1390.0520.162-0.1290.1360.7490.191-0.1430.5240.9430.9430.6880.756-0.0560.3090.452-0.1830.8810.375-0.1500.1450.1450.8670.8520.7990.1560.1450.139-0.081-0.1530.1450.145-0.1520.1450.1450.1451.000
Grid Production CosPhi Avg.0.032-0.031-0.0320.0950.247-0.0750.137-0.0080.7110.6740.6840.455-0.0320.101-0.714-0.742-0.7020.203-0.114-0.2380.1520.6550.3860.596-0.085-0.0290.7410.7170.7420.7430.7410.7360.445-0.031-0.0320.6790.6710.5470.7010.7010.7010.7500.6790.7260.1110.3620.4320.6991.0000.7520.7540.7550.1510.7110.6610.6280.6550.7630.7200.7040.6680.2430.0430.422-0.6420.1610.1420.2120.6740.6610.658-0.032-0.0320.2020.4880.4970.501-0.2130.1820.4730.2580.1540.0620.221-0.1430.1960.8630.166-0.0310.2130.2470.2470.9210.4630.3110.2920.297-0.3370.7670.2190.023-0.032-0.0320.7450.6800.7290.089-0.032-0.038-0.299-0.212-0.032-0.0320.020-0.032-0.032-0.0321.000
Grid Production CurrentPhase1 Avg. [A]0.042-0.042-0.0420.1510.025-0.0070.088-0.0230.9330.9160.8620.741-0.0420.046-0.558-0.629-0.4650.402-0.128-0.2540.3120.8300.5540.816-0.075-0.0450.9760.9680.9770.9760.9650.9710.759-0.042-0.0420.9180.9070.7820.9340.9350.9360.9820.9690.9070.2730.5810.6550.8760.7521.0000.9990.9990.0130.9320.9240.8260.8220.9810.9740.8520.8380.2860.3950.123-0.2040.2310.2490.3400.8990.8920.890-0.042-0.0420.2110.7780.7620.790-0.2630.2100.828-0.1990.2000.0580.269-0.1910.2580.8090.223-0.0910.4100.0250.0250.7420.855-0.0860.3180.530-0.1870.9840.4070.036-0.042-0.0420.9790.9690.9100.243-0.042-0.049-0.293-0.262-0.042-0.0420.033-0.042-0.042-0.0421.000
Grid Production CurrentPhase2 Avg. [A]0.043-0.043-0.0430.1510.025-0.0080.090-0.0240.9330.9160.8630.740-0.0430.047-0.560-0.629-0.4680.403-0.130-0.2550.3110.8310.5550.818-0.077-0.0450.9770.9700.9780.9770.9670.9720.759-0.043-0.0430.9200.9090.7830.9360.9360.9370.9830.9690.9100.2700.5820.6550.8770.7540.9991.0000.9990.0150.9330.9240.8260.8220.9830.9740.8530.8380.2860.3940.123-0.2060.2300.2490.3410.9000.8940.891-0.043-0.0430.2120.7790.7630.791-0.2630.2100.830-0.1980.1990.0580.269-0.1900.2570.8090.222-0.0910.4100.0250.0250.7460.857-0.0870.3180.530-0.1860.9850.4070.036-0.043-0.0430.9800.9700.9130.240-0.043-0.051-0.294-0.262-0.043-0.0430.034-0.043-0.043-0.0431.000
Grid Production CurrentPhase3 Avg. [A]0.044-0.043-0.0440.1490.026-0.0100.090-0.0240.9330.9160.8640.738-0.0440.047-0.561-0.630-0.4700.402-0.131-0.2560.3100.8300.5530.817-0.076-0.0450.9770.9700.9770.9770.9670.9720.758-0.043-0.0440.9190.9080.7820.9350.9360.9370.9840.9690.9110.2680.5800.6530.8770.7550.9990.9991.0000.0140.9330.9240.8270.8220.9830.9740.8540.8380.2860.3930.124-0.2080.2320.2500.3410.9000.8940.891-0.044-0.0440.2100.7780.7620.790-0.2650.2120.830-0.1950.2020.0580.270-0.1930.2580.8090.221-0.0900.4080.0260.0260.7480.856-0.0860.3180.530-0.1870.9850.4070.037-0.044-0.0430.9810.9690.9140.238-0.044-0.051-0.296-0.263-0.044-0.0440.034-0.044-0.044-0.0441.000
Grid Production Frequency Avg. [Hz]0.0500.0550.0550.4710.9430.3450.0430.0000.0400.0451.0000.0190.0540.0990.0001.0001.0000.0000.5770.5770.5770.5770.5770.5770.0000.0000.5770.5770.5770.5770.5770.5770.5770.0630.0550.5770.5770.5770.5770.5770.5770.0450.0471.0000.0000.5770.5770.5770.1510.0130.0150.0141.0000.0130.0190.0110.0000.0160.5770.2400.0000.0000.0130.0000.0000.3420.3420.3420.5770.5770.5770.0550.0550.5660.5770.5770.5770.0000.1120.0000.0040.1330.5770.0880.0000.1000.0290.0000.5770.5770.9430.9430.0000.0110.0000.0000.0000.0000.0150.0000.0490.0540.0530.0440.0471.0000.0000.0540.0480.5770.0000.0640.0560.0430.0550.0540.0521.000
Grid Production PossiblePower Avg. [W]0.043-0.043-0.0430.1250.027-0.0400.072-0.0380.9920.9740.9160.793-0.0430.032-0.476-0.543-0.3850.339-0.163-0.3030.2960.7770.5250.7890.1610.0210.9220.9160.9250.9160.9060.9200.690-0.043-0.0430.8860.8700.7330.9030.9030.9040.9220.9140.8460.2400.5340.6180.8400.7110.9320.9330.9330.0131.0000.9820.8870.8200.9350.9280.8220.7750.2270.3390.086-0.1880.2380.2630.3450.8650.8560.850-0.043-0.0430.1740.7570.7340.7690.009-0.0530.807-0.2550.0450.045-0.001-0.0330.0760.8010.202-0.1120.3770.0270.0270.6800.836-0.1370.2590.517-0.2160.9370.3570.034-0.043-0.0430.9180.9140.8480.215-0.043-0.051-0.3320.007-0.043-0.0430.030-0.043-0.043-0.0431.000
Grid Production PossiblePower Max. [W]0.044-0.043-0.0440.1300.036-0.0360.049-0.0210.9730.9810.8640.855-0.0440.007-0.445-0.557-0.3220.430-0.153-0.2930.3010.7730.5280.7850.1390.0260.9130.9110.9140.9070.8950.9110.689-0.043-0.0440.8810.8670.7310.8970.8970.8980.9140.9360.8080.3120.5340.6160.8330.6610.9240.9240.9240.0190.9821.0000.8220.8760.9260.9470.7660.8260.2660.4250.024-0.1110.2350.2630.3470.8590.8500.844-0.044-0.0440.1800.7590.7330.7690.010-0.0550.806-0.2640.0270.047-0.002-0.0140.0640.7710.279-0.1230.3840.0360.0360.6450.836-0.1400.2820.532-0.1220.9280.4030.033-0.044-0.0430.9090.9350.8120.285-0.044-0.053-0.3210.008-0.044-0.0440.029-0.044-0.044-0.0441.000
Grid Production PossiblePower Min. [W]0.049-0.048-0.0480.0920.018-0.0330.088-0.0800.8860.8290.9150.566-0.0480.070-0.413-0.380-0.4220.037-0.174-0.2850.2710.6700.4530.6930.1440.0110.8160.8010.8230.8110.8020.8170.637-0.048-0.0480.7700.7520.6440.7870.7870.7880.8140.7530.8290.0430.4800.5520.7360.6280.8260.8260.8270.0110.8870.8221.0000.5900.8280.7750.9140.5530.0020.0820.148-0.2640.2170.2430.3090.7600.7530.749-0.048-0.0480.1180.6780.6570.690-0.002-0.0350.745-0.3570.0570.0330.007-0.0490.0780.712-0.023-0.0920.3350.0180.0180.5620.770-0.2640.1060.421-0.4550.8290.1500.041-0.049-0.0480.8100.7540.8290.027-0.048-0.054-0.303-0.005-0.048-0.0480.039-0.048-0.048-0.0481.000
Grid Production PossiblePower StdDev [W]0.032-0.031-0.0320.1080.016-0.0500.0290.0270.8080.8460.6480.816-0.032-0.016-0.543-0.710-0.3710.453-0.106-0.2550.2310.6830.4580.681-0.0560.0210.8100.8090.8120.8080.7980.8080.580-0.031-0.0320.7750.7680.6300.7880.7880.7880.8190.8570.6960.3920.4390.5070.7300.6550.8220.8220.8220.0000.8200.8760.5901.0000.8260.8740.6040.9420.3380.4730.027-0.1230.2120.2300.3130.7540.7450.738-0.032-0.0320.2590.6440.6350.654-0.0720.0420.713-0.146-0.0030.0370.0780.0150.0440.7450.379-0.1180.3090.0160.0160.6550.696-0.0250.3310.480-0.0480.8280.4270.022-0.032-0.0310.8180.8550.7010.367-0.032-0.041-0.295-0.071-0.032-0.0320.018-0.032-0.032-0.0321.000
Grid Production Power Avg. [W]0.049-0.049-0.0490.1290.023-0.0300.094-0.0290.9340.9140.8710.732-0.0490.059-0.556-0.620-0.4700.387-0.150-0.2760.2960.8200.5460.818-0.075-0.0310.9690.9620.9700.9700.9610.9640.737-0.049-0.0490.9080.8970.7670.9290.9290.9290.9780.9610.9130.2390.5540.6330.8780.7630.9810.9830.9830.0160.9350.9260.8280.8261.0000.9810.8740.8260.3000.3820.146-0.2420.2310.2490.3380.9010.8910.886-0.049-0.0490.2080.7620.7490.775-0.2070.1780.828-0.1980.1540.0080.204-0.1580.1790.8140.198-0.1060.3890.0230.0230.7730.855-0.0830.3350.530-0.1960.9980.4190.038-0.049-0.0490.9760.9610.9160.213-0.049-0.056-0.312-0.205-0.049-0.0490.035-0.049-0.049-0.0491.000
Grid Production Power Max. [W]0.050-0.049-0.0490.1440.943-0.0290.069-0.0090.9240.9280.8230.800-0.0490.031-0.525-0.636-0.4040.473-0.140-0.2670.2970.8140.5430.810-0.053-0.0260.9580.9550.9580.9580.9480.9530.735-0.049-0.0490.9040.8950.7630.9230.9230.9240.9670.9840.8640.3290.5520.6300.8680.7200.9740.9740.9740.5770.9280.9470.7750.8740.9811.0000.8060.8800.3150.4590.072-0.1590.2310.2530.3420.8900.8810.877-0.049-0.0490.2100.7640.7480.776-0.1940.1730.824-0.2040.1630.0520.201-0.1540.1870.7860.283-0.1070.3920.9430.9430.7280.852-0.0860.3320.541-0.1110.9830.4400.038-0.050-0.0490.9620.9830.8680.300-0.049-0.057-0.301-0.192-0.049-0.0490.034-0.049-0.049-0.0491.000
Grid Production Power Min. [W]0.056-0.056-0.0560.0840.392-0.0270.120-0.0740.8260.7680.8650.506-0.0560.101-0.508-0.464-0.5440.077-0.161-0.2630.2780.7140.4880.718-0.121-0.0330.8480.8330.8530.8510.8460.8460.667-0.056-0.0560.7850.7730.6640.8060.8060.8060.8580.7710.905-0.0110.4950.5640.7720.7040.8520.8530.8540.2400.8220.7660.9140.6040.8740.8061.0000.5760.0970.0990.289-0.4180.2070.2230.2960.7870.7770.772-0.056-0.0560.1680.6720.6620.684-0.1800.1520.734-0.2420.106-0.0290.170-0.1190.1270.737-0.016-0.0970.3520.3920.3920.7010.751-0.1860.2320.390-0.4520.8720.2190.046-0.056-0.0550.8560.7730.906-0.029-0.056-0.059-0.289-0.179-0.055-0.0560.044-0.056-0.056-0.0561.000
Grid Production Power StdDev [W]0.010-0.010-0.0100.1690.008-0.0360.0260.0410.7670.8040.6140.776-0.010-0.019-0.598-0.765-0.4240.478-0.077-0.2130.2040.6930.4340.667-0.047-0.0340.8190.8180.8200.8180.8100.8160.592-0.010-0.0100.7780.7730.6430.7870.7880.7890.8270.8700.7010.4390.4400.5040.7230.6680.8380.8380.8380.0000.7750.8260.5530.9420.8260.8800.5761.0000.3210.478-0.004-0.1000.1990.2100.2940.7460.7410.739-0.010-0.0100.2450.6310.6220.642-0.2370.1840.697-0.0900.1850.0510.242-0.1770.2420.7060.401-0.0710.2920.0080.0080.6680.6800.0300.3050.477-0.0230.8280.4060.003-0.010-0.0100.8260.8690.7070.410-0.010-0.020-0.263-0.235-0.010-0.010-0.002-0.010-0.010-0.0101.000
Grid Production ReactivePower Avg. [W]-0.0050.0050.0050.0070.000-0.0090.106-0.0050.2280.2310.1540.2180.0050.068-0.286-0.338-0.1940.3870.005-0.0540.0970.2640.2210.251-0.1400.0230.2730.2820.2660.2800.2860.2640.1550.0050.0050.2620.2620.1900.2710.2700.2660.2850.2880.2400.1020.1280.1810.2740.2430.2860.2860.2860.0000.2270.2660.0020.3380.3000.3150.0970.3211.0000.6340.432-0.1120.0590.0440.0790.2710.2550.2410.0050.0050.1810.1690.1830.1720.0030.1100.1420.2520.0150.002-0.004-0.017-0.0940.2910.215-0.0520.1110.0000.0000.3910.1370.2860.9230.1470.3270.3010.867-0.0180.0050.0050.2900.2870.2410.0860.0040.003-0.0920.0070.0050.005-0.0200.0050.0050.0041.000
Grid Production ReactivePower Max. [W]0.017-0.016-0.0170.0630.033-0.011-0.0010.0430.3350.3790.1920.465-0.017-0.044-0.124-0.2350.0680.604-0.029-0.0830.1360.3040.2440.330-0.0410.0140.3740.3950.3670.3760.3750.3690.334-0.016-0.0170.3810.3830.3060.3860.3860.3840.3740.4790.2590.4250.2180.2600.3060.0430.3950.3940.3930.0130.3390.4250.0820.4730.3820.4590.0990.4780.6341.000-0.1600.4010.1200.1420.1860.3560.3530.345-0.017-0.0170.1460.3370.3330.340-0.0160.0690.446-0.1840.0320.0300.023-0.025-0.0120.1780.415-0.0700.1770.0330.0330.1630.432-0.1550.5550.3600.4340.3830.7030.009-0.016-0.0170.3740.4760.2610.410-0.017-0.021-0.096-0.013-0.017-0.0170.007-0.017-0.017-0.0171.000
Grid Production ReactivePower Min. [W]-0.0130.0130.013-0.0310.005-0.0110.172-0.0650.0930.0300.193-0.1460.0130.150-0.342-0.269-0.476-0.1010.006-0.0360.0250.1490.1090.093-0.1350.0180.1020.0830.1040.1100.1160.098-0.0140.0130.0130.0660.0620.0260.0790.0780.0750.1230.0120.238-0.2850.0190.0620.1670.4220.1230.1230.1240.0000.0860.0240.1480.0270.1460.0720.289-0.0040.432-0.1601.000-0.787-0.011-0.050-0.0430.1040.0840.0750.0130.0130.086-0.025-0.003-0.0220.0170.070-0.1880.523-0.022-0.036-0.0250.009-0.1090.334-0.187-0.0210.0120.0050.0050.498-0.1740.4690.551-0.177-0.2670.1440.238-0.0230.0130.0130.1260.0150.237-0.2900.0130.017-0.0760.0200.0130.013-0.0230.0130.0130.0131.000
Grid Production ReactivePower StdDev [W]-0.0050.0050.0050.0200.0000.050-0.1690.041-0.193-0.130-0.2860.0780.005-0.1540.5060.4270.6490.1680.0270.084-0.015-0.224-0.127-0.1590.1210.003-0.202-0.175-0.205-0.208-0.212-0.199-0.0080.0050.005-0.153-0.146-0.092-0.169-0.168-0.166-0.221-0.097-0.3260.234-0.046-0.093-0.258-0.642-0.204-0.206-0.2080.000-0.188-0.111-0.264-0.123-0.242-0.159-0.418-0.100-0.1120.401-0.7871.000-0.0230.0200.005-0.186-0.166-0.1580.0050.005-0.109-0.029-0.053-0.0340.041-0.1010.134-0.582-0.0360.018-0.0360.0440.031-0.4880.0740.015-0.0120.0000.000-0.6650.137-0.528-0.2540.1820.453-0.2420.0610.0080.0050.005-0.221-0.100-0.3270.2370.0050.0040.1360.0400.0050.0050.0090.0050.0050.0051.000
Grid Production VoltagePhase1 Avg. [V]0.098-0.098-0.098-0.0170.559-0.0770.031-0.0030.2400.2350.2200.187-0.0980.028-0.141-0.157-0.1060.060-0.131-0.1560.0810.1780.1080.179-0.001-0.0160.2300.2270.2330.2310.2280.2300.175-0.098-0.0980.2080.2040.1620.2140.2150.2140.2370.2340.2220.0730.1230.1360.1880.1610.2310.2300.2320.3420.2380.2350.2170.2120.2310.2310.2070.1990.0590.120-0.011-0.0231.0000.9750.9690.2040.2010.199-0.098-0.098-0.0100.1790.1730.178-0.0240.0410.223-0.0940.0610.0450.033-0.0470.0410.1910.044-0.0220.0880.5590.5590.1540.220-0.0560.0610.164-0.0460.2340.1130.086-0.099-0.0980.2390.2340.2220.068-0.098-0.098-0.163-0.025-0.098-0.0980.083-0.098-0.098-0.0981.000
Grid Production VoltagePhase2 Avg. [V]0.179-0.180-0.179-0.0520.559-0.1060.006-0.0210.2610.2650.2310.229-0.1790.003-0.107-0.131-0.0640.072-0.160-0.1810.1270.1920.1380.1820.008-0.0160.2470.2460.2500.2470.2410.2460.195-0.180-0.1790.2200.2170.1630.2250.2250.2250.2530.2560.2300.0760.1650.1640.1880.1420.2490.2490.2500.3420.2630.2630.2430.2300.2490.2530.2230.2100.0440.142-0.0500.0200.9751.0000.9810.2100.2060.203-0.179-0.179-0.0310.2170.2100.215-0.0060.0220.262-0.1570.0430.0420.015-0.0280.0230.1810.045-0.0430.1310.5590.5590.1280.264-0.1130.0460.190-0.0510.2510.1180.164-0.181-0.1790.2540.2560.2300.072-0.179-0.176-0.181-0.006-0.179-0.1790.161-0.179-0.179-0.1791.000
Grid Production VoltagePhase3 Avg. [V]0.140-0.141-0.140-0.0330.559-0.0560.024-0.0150.3430.3500.3020.302-0.1400.013-0.168-0.198-0.1140.111-0.123-0.1560.1580.2720.2050.278-0.011-0.0190.3400.3380.3420.3400.3340.3390.277-0.141-0.1400.3150.3120.2600.3210.3210.3200.3440.3450.3150.0980.2260.2410.2830.2120.3400.3410.3410.3420.3450.3470.3090.3130.3380.3420.2960.2940.0790.186-0.0430.0050.9690.9811.0000.3080.3050.302-0.140-0.1400.0380.2980.2900.298-0.0340.0390.350-0.1820.0500.0440.043-0.0350.0440.2550.071-0.0530.1820.5590.5590.2010.348-0.1340.0820.239-0.0590.3400.1620.132-0.142-0.1400.3460.3450.3150.090-0.140-0.139-0.160-0.035-0.140-0.1400.130-0.140-0.140-0.1401.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.1410.1420.1410.2290.9430.1960.111-0.0140.8680.8520.7970.6940.1410.081-0.456-0.525-0.3710.3630.047-0.0710.4020.8290.6690.977-0.0440.0100.9210.9160.9150.9140.9020.9170.7500.1420.1410.9340.9290.9430.9570.9550.9530.8970.8800.8300.1960.6340.7450.9810.6740.8990.9000.9000.5770.8650.8590.7600.7540.9010.8900.7870.7460.2710.3560.104-0.1860.2040.2100.3081.0000.9950.9910.1410.1410.3650.8110.7770.818-0.1490.1540.789-0.2390.1350.0520.155-0.1250.1320.7280.181-0.1410.5220.9430.9430.6680.818-0.1440.3010.500-0.1780.9030.396-0.1460.1410.1420.8950.8800.8320.1720.1410.136-0.096-0.1470.1410.141-0.1470.1410.1410.1411.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.1500.1510.1510.2390.9430.2020.108-0.0100.8600.8440.7890.6870.1500.075-0.450-0.517-0.3650.3610.054-0.0630.3940.8250.6610.977-0.0420.0100.9160.9120.9100.9090.8970.9130.7530.1510.1510.9330.9280.9510.9550.9530.9510.8910.8740.8250.2010.6340.7430.9770.6610.8920.8940.8940.5770.8560.8500.7530.7450.8910.8810.7770.7410.2550.3530.084-0.1660.2010.2060.3050.9951.0000.9940.1500.1500.3610.8080.7720.814-0.1680.1550.789-0.2460.1380.0530.175-0.1290.1550.7140.181-0.1310.5180.9430.9430.6550.816-0.1520.2830.500-0.1720.8940.384-0.1520.1500.1510.8890.8740.8270.1760.1510.145-0.087-0.1670.1510.150-0.1540.1500.1500.1501.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.1550.1560.1550.2430.9430.2030.104-0.0070.8540.8390.7850.6830.1550.069-0.448-0.516-0.3650.3620.056-0.0600.3850.8250.6530.975-0.043-0.0010.9130.9080.9070.9060.8940.9090.7530.1560.1550.9320.9270.9560.9520.9510.9490.8890.8720.8230.2040.6320.7400.9750.6580.8900.8910.8910.5770.8500.8440.7490.7380.8860.8770.7720.7390.2410.3450.075-0.1580.1990.2030.3020.9910.9941.0000.1550.1550.3540.8040.7680.810-0.1850.1560.785-0.2440.1430.0540.192-0.1330.1770.7080.182-0.1240.5120.9430.9430.6500.812-0.1510.2690.497-0.1710.8880.371-0.1560.1550.1560.8870.8720.8250.1780.1550.150-0.084-0.1850.1560.155-0.1570.1550.1550.1551.000
Grid ok hours [h]-1.0001.0001.0000.5330.0900.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0270.2010.003-0.010-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0270.2370.0430.0390.036-0.036-0.044-0.0320.001-0.0850.0870.145-0.032-0.042-0.043-0.0440.055-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1500.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0430.006-0.0420.047-0.045-0.025-0.0230.0160.0120.0900.090-0.037-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0431.0001.000-0.9561.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.0000.5330.0900.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0270.2010.003-0.010-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0270.2370.0430.0390.036-0.036-0.044-0.0320.000-0.0850.0870.145-0.032-0.042-0.043-0.0440.055-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1500.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0430.006-0.0420.047-0.045-0.025-0.0230.0160.0120.0900.090-0.037-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0431.0001.000-0.9561.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.4070.4080.4080.2010.9240.5020.1070.0420.1780.1770.1330.1310.4080.114-0.304-0.282-0.234-0.0170.4860.4340.3520.2840.5040.419-0.1390.0270.2530.2450.2480.2410.2270.2520.2720.4080.4080.3140.3350.4260.3030.3010.2970.2240.2060.2070.1150.3710.4100.3550.2020.2110.2120.2100.5660.1740.1800.1180.2590.2080.2100.1680.2450.1810.1460.086-0.109-0.010-0.0310.0380.3650.3610.3540.4080.4081.0000.4500.4930.450-0.0080.1260.235-0.0680.0360.0420.016-0.029-0.0660.2340.027-0.0910.4320.9240.9240.2090.173-0.0300.1830.077-0.0230.2110.162-0.3900.4090.4080.2300.2060.2080.1130.4080.3820.417-0.0040.4080.408-0.3860.4080.4080.4081.000
HVTrafo Phase1 Temp. Avg. [°C]0.058-0.056-0.0570.1410.9430.1810.044-0.0230.7560.7520.6860.642-0.0570.024-0.283-0.356-0.2040.324-0.036-0.0940.6430.8360.8020.8060.0150.0190.8200.8140.8070.7980.7740.8100.740-0.056-0.0570.8710.8750.8050.8440.8440.8440.7670.7670.7050.1520.8080.8200.7890.4880.7780.7790.7780.5770.7570.7590.6780.6440.7620.7640.6720.6310.1690.337-0.025-0.0290.1790.2170.2980.8110.8080.804-0.057-0.0570.4501.0000.9800.996-0.1140.1170.754-0.3620.1360.0530.121-0.1280.1310.5500.159-0.2000.7210.9430.9430.4700.786-0.2880.1930.471-0.1410.7650.3240.050-0.057-0.0570.7660.7660.7070.131-0.057-0.083-0.094-0.113-0.057-0.0570.048-0.057-0.057-0.0571.000
HVTrafo Phase2 Temp. Avg. [°C]0.090-0.089-0.0900.1080.9430.1380.053-0.0240.7330.7250.6670.608-0.0900.031-0.323-0.382-0.2450.301-0.058-0.1190.5990.8100.7660.765-0.0120.0090.8030.7960.7910.7830.7600.7930.709-0.089-0.0900.8400.8440.7600.8160.8160.8170.7540.7490.6960.1610.7700.7720.7550.4970.7620.7630.7620.5770.7340.7330.6570.6350.7490.7480.6620.6220.1830.333-0.003-0.0530.1730.2100.2900.7770.7720.768-0.090-0.0900.4930.9801.0000.984-0.1270.1300.736-0.3330.1340.0540.134-0.1250.1310.5570.149-0.1830.6720.9430.9430.4840.755-0.2580.2070.443-0.1390.7510.3180.085-0.089-0.0900.7530.7480.6980.139-0.090-0.118-0.122-0.125-0.089-0.0900.082-0.090-0.090-0.0901.000
HVTrafo Phase3 Temp. Avg. [°C]0.062-0.061-0.0620.1340.9430.1600.048-0.0230.7680.7620.6990.647-0.0620.025-0.300-0.371-0.2210.324-0.048-0.1120.6180.8390.7830.8080.0160.0160.8310.8250.8190.8100.7870.8220.743-0.061-0.0620.8790.8820.8060.8540.8540.8550.7790.7780.7170.1590.7920.8100.7950.5010.7900.7910.7900.5770.7690.7690.6900.6540.7750.7760.6840.6420.1720.340-0.022-0.0340.1780.2150.2980.8180.8140.810-0.062-0.0620.4500.9960.9841.000-0.1190.1150.763-0.3600.1360.0540.126-0.1280.1380.5650.161-0.1940.6950.9430.9430.4840.792-0.2830.1960.474-0.1440.7770.3250.056-0.062-0.0620.7780.7770.7190.138-0.062-0.088-0.114-0.118-0.061-0.0620.053-0.062-0.062-0.0621.000
HourCounters Average AlarmActive Avg. [h]-0.0430.0430.043-0.1210.0000.005-0.011-0.0740.0030.007-0.0130.0320.0430.0230.3390.3340.342-0.160-0.001-0.0200.020-0.248-0.043-0.1060.5270.192-0.259-0.255-0.254-0.273-0.274-0.249-0.2620.0430.043-0.206-0.218-0.200-0.186-0.189-0.194-0.284-0.243-0.304-0.149-0.174-0.118-0.155-0.213-0.263-0.263-0.2650.0000.0090.010-0.002-0.072-0.207-0.194-0.180-0.2370.003-0.0160.0170.041-0.024-0.006-0.034-0.149-0.168-0.1850.0430.043-0.008-0.114-0.127-0.1191.000-0.781-0.129-0.180-0.626-0.030-0.9860.637-0.845-0.119-0.104-0.154-0.0530.0000.000-0.277-0.114-0.1670.010-0.083-0.051-0.2070.001-0.0660.0420.042-0.286-0.243-0.306-0.1210.0430.0390.0171.0000.0430.043-0.0690.0430.0430.0431.000
HourCounters Average AmbientOk Avg. [h]0.039-0.039-0.0390.0580.2050.0600.0580.022-0.048-0.057-0.052-0.069-0.0390.093-0.268-0.271-0.2570.1190.0510.0890.0830.1930.1200.135-0.496-0.0330.2130.2110.2070.2250.2270.2040.211-0.039-0.0390.1560.1690.1620.1460.1470.1490.2330.1960.2250.0960.1530.1410.1600.1820.2100.2100.2120.112-0.053-0.055-0.0350.0420.1780.1730.1520.1840.1100.0690.070-0.1010.0410.0220.0390.1540.1550.156-0.039-0.0390.1260.1170.1300.115-0.7811.0000.1070.1460.8000.2200.805-0.7830.6110.0950.0540.0790.1290.2050.2050.2350.0970.1360.1090.0640.0410.1840.1000.040-0.038-0.0390.2330.1960.2260.076-0.039-0.0350.060-0.770-0.039-0.0390.041-0.039-0.039-0.0391.000
HourCounters Average Gen1 Avg. [h]0.019-0.018-0.0180.1100.0160.0190.034-0.0390.8040.7990.7330.664-0.0180.021-0.330-0.369-0.2210.255-0.115-0.2160.2960.6510.4830.726-0.037-0.0200.8340.8350.8340.8310.8290.8330.728-0.018-0.0180.8070.8020.7010.8240.8240.8240.8290.8240.7890.1550.5120.5700.7140.4730.8280.8300.8300.0000.8070.8060.7450.7130.8280.8240.7340.6970.1420.446-0.1880.1340.2230.2620.3500.7890.7890.785-0.018-0.0180.2350.7540.7360.763-0.1290.1071.000-0.6370.1010.0280.132-0.0970.1240.5480.116-0.1250.3850.0160.0160.4570.970-0.5590.1500.597-0.1540.8290.3580.016-0.018-0.0180.8320.8240.7910.139-0.018-0.026-0.224-0.128-0.018-0.0180.014-0.018-0.018-0.0181.000
HourCounters Average Gen2 Avg. [h]0.012-0.012-0.013-0.0020.024-0.0880.0860.065-0.246-0.268-0.217-0.283-0.0130.042-0.304-0.302-0.3670.1530.0330.031-0.182-0.079-0.164-0.244-0.096-0.030-0.209-0.219-0.214-0.200-0.197-0.218-0.342-0.012-0.013-0.227-0.225-0.245-0.234-0.233-0.233-0.189-0.216-0.1690.052-0.201-0.208-0.1480.258-0.199-0.198-0.1950.004-0.255-0.264-0.357-0.146-0.198-0.204-0.242-0.0900.252-0.1840.523-0.582-0.094-0.157-0.182-0.239-0.246-0.244-0.013-0.013-0.068-0.362-0.333-0.360-0.1800.146-0.6371.0000.1180.0310.183-0.1130.1580.1220.1500.127-0.2130.0240.0240.344-0.6180.9290.251-0.3550.127-0.196-0.0150.010-0.012-0.012-0.191-0.215-0.1690.041-0.013-0.008-0.028-0.180-0.013-0.0130.010-0.013-0.013-0.0131.000
HourCounters Average GridOk Avg. [h]0.043-0.043-0.0420.0710.2480.0320.0190.0180.0530.0450.0410.030-0.0430.057-0.217-0.224-0.2040.1090.0160.0460.0590.1810.0750.113-0.026-0.0720.2010.2000.1950.2020.2010.1930.180-0.043-0.0420.1720.1780.1490.1540.1560.1600.2080.2020.1840.1480.1340.1340.1390.1540.2000.1990.2020.1330.0450.0270.057-0.0030.1540.1630.1060.1850.0150.032-0.022-0.0360.0610.0430.0500.1350.1380.143-0.043-0.0430.0360.1360.1340.136-0.6260.8000.1010.1181.0000.2690.660-0.9560.7450.0330.0900.0930.0940.2480.2480.1660.0990.1080.0100.0610.0300.1620.0190.040-0.043-0.0420.2080.2010.1850.123-0.043-0.0440.017-0.621-0.043-0.0430.039-0.043-0.043-0.0431.000
HourCounters Average GridOn Avg. [h]-0.0060.0060.0060.1000.9620.0450.029-0.0090.0510.048-0.0220.0380.0060.051-0.028-0.0540.0220.0270.0430.0440.0460.0550.0460.0500.0040.0010.0560.0550.0550.0570.0560.0550.0590.0060.0060.0540.0540.0570.0520.0520.0530.0560.057-0.0220.0510.0540.0530.0520.0620.0580.0580.0580.5770.0450.0470.0330.0370.0080.052-0.0290.0510.0020.030-0.0360.0180.0450.0420.0440.0520.0530.0540.0060.0060.0420.0530.0540.054-0.0300.2200.0280.0310.2691.0000.178-0.0470.2050.0500.0330.0580.0500.9620.962-0.0010.0260.025-0.0010.0180.0150.0350.0100.0020.0060.0060.0560.056-0.0220.0410.0060.0070.038-0.0320.0060.0060.0040.0060.0060.0061.000
HourCounters Average Run Avg. [h]0.042-0.041-0.0410.1350.1640.0030.0170.0730.0050.0010.006-0.023-0.042-0.014-0.338-0.339-0.3310.1640.0090.028-0.0110.2530.0510.113-0.519-0.1890.2640.2610.2590.2780.2800.2550.268-0.041-0.0410.2120.2240.2060.1930.1950.2010.2890.2480.2940.1550.1810.1250.1620.2210.2690.2690.2700.088-0.001-0.0020.0070.0780.2040.2010.1700.242-0.0040.023-0.025-0.0360.0330.0150.0430.1550.1750.192-0.042-0.0420.0160.1210.1340.126-0.9860.8050.1320.1830.6600.1781.000-0.6310.8660.1260.1080.1620.0610.1640.1640.2710.1170.169-0.0110.0840.0520.2100.0000.066-0.040-0.0410.2910.2490.2950.125-0.042-0.037-0.010-0.985-0.042-0.0420.069-0.042-0.042-0.0411.000
HourCounters Average ServiceOn Avg. [h]-0.0470.0470.046-0.0460.061-0.021-0.013-0.015-0.039-0.032-0.050-0.0190.047-0.0500.2160.2150.218-0.105-0.006-0.038-0.051-0.172-0.065-0.1030.0020.002-0.192-0.192-0.187-0.194-0.192-0.185-0.1690.0470.046-0.163-0.169-0.140-0.145-0.147-0.150-0.199-0.194-0.198-0.141-0.125-0.126-0.129-0.143-0.191-0.190-0.1930.000-0.033-0.014-0.0490.015-0.158-0.154-0.119-0.177-0.017-0.0250.0090.044-0.047-0.028-0.035-0.125-0.129-0.1330.0470.047-0.029-0.128-0.125-0.1280.637-0.783-0.097-0.113-0.956-0.047-0.6311.000-0.728-0.019-0.086-0.083-0.0860.0610.061-0.175-0.095-0.105-0.013-0.058-0.029-0.158-0.018-0.0420.0470.046-0.199-0.193-0.199-0.1190.0470.048-0.0080.6310.0470.047-0.0410.0470.0470.0471.000
HourCounters Average TurbineOk Avg. [h]0.045-0.044-0.0440.1450.186-0.027-0.0170.0710.0850.0820.0780.057-0.045-0.052-0.292-0.299-0.2830.161-0.021-0.010-0.0430.2400.0000.085-0.121-0.1330.2480.2460.2440.2540.2530.2410.238-0.044-0.0440.2210.2270.1940.1940.1980.2050.2650.2480.2570.1990.1610.1100.1360.1960.2580.2570.2580.1000.0760.0640.0780.0440.1790.1870.1270.242-0.094-0.012-0.1090.0310.0410.0230.0440.1320.1550.177-0.045-0.045-0.0660.1310.1310.138-0.8450.6110.1240.1580.7450.2050.866-0.7281.0000.0750.1400.1820.0200.1860.1860.2130.1150.146-0.1060.0830.0470.185-0.0790.070-0.044-0.0440.2660.2480.2580.164-0.045-0.045-0.049-0.851-0.045-0.0450.071-0.045-0.045-0.0451.000
HourCounters Average WindOk Avg. [h]0.025-0.025-0.0250.1010.050-0.0740.139-0.0190.8030.7660.7620.544-0.0250.094-0.719-0.755-0.6590.219-0.128-0.2660.1840.6880.4290.656-0.0900.0020.7930.7710.8010.7970.7890.7920.490-0.025-0.0250.7350.7230.5920.7560.7560.7560.7950.7490.7370.2560.3950.4700.7490.8630.8090.8090.8090.0290.8010.7710.7120.7450.8140.7860.7370.7060.2910.1780.334-0.4880.1910.1810.2550.7280.7140.708-0.025-0.0250.2340.5500.5570.565-0.1190.0950.5480.1220.0330.0500.126-0.0190.0751.0000.163-0.0540.2480.0500.0500.8340.5330.2400.3260.344-0.2660.8170.2940.017-0.025-0.0250.7880.7500.7400.235-0.025-0.034-0.322-0.118-0.025-0.0250.015-0.025-0.025-0.0251.000
HourCounters Average Yaw Avg. [h]0.023-0.022-0.0230.0520.000-0.083-0.0320.1310.2010.2730.0610.416-0.023-0.086-0.115-0.286-0.0050.474-0.042-0.0930.0090.2240.0940.1570.018-0.0140.2100.2200.2040.2110.2080.2050.137-0.022-0.0230.2270.2300.1610.2220.2220.2230.2200.3040.1090.3310.0970.1240.1910.1660.2230.2220.2210.0000.2020.279-0.0230.3790.1980.283-0.0160.4010.2150.415-0.1870.0740.0440.0450.0710.1810.1810.182-0.023-0.0230.0270.1590.1490.161-0.1040.0540.1160.1500.0900.0330.108-0.0860.1400.1631.000-0.0220.0530.0000.0000.2060.1260.1490.1800.1490.2350.2000.2320.017-0.023-0.0220.2150.3010.1150.306-0.023-0.028-0.114-0.105-0.023-0.0230.014-0.023-0.023-0.0231.000
Hydraulic Oil Temp. Avg. [°C]-0.0160.0160.0160.0160.943-0.100-0.0170.024-0.107-0.119-0.087-0.1340.016-0.029-0.0370.003-0.059-0.062-0.021-0.013-0.227-0.128-0.225-0.162-0.012-0.009-0.098-0.095-0.091-0.089-0.076-0.093-0.1000.0160.016-0.119-0.120-0.141-0.119-0.117-0.115-0.089-0.097-0.0800.051-0.190-0.202-0.143-0.031-0.091-0.091-0.0900.577-0.112-0.123-0.092-0.118-0.106-0.107-0.097-0.071-0.052-0.070-0.0210.015-0.022-0.043-0.053-0.141-0.131-0.1240.0160.016-0.091-0.200-0.183-0.194-0.1540.079-0.1250.1270.0930.0580.162-0.0830.182-0.054-0.0221.000-0.2280.9430.943-0.028-0.1380.116-0.061-0.0850.021-0.104-0.090-0.0010.0170.016-0.089-0.096-0.0810.0480.0160.028-0.028-0.1560.0160.0160.0020.0160.0160.0161.000
Nacelle Temp. Avg. [°C]-0.0120.0130.0120.1440.9430.5530.013-0.0120.3760.3790.3300.3490.0120.013-0.036-0.101-0.0050.2230.2620.3160.9560.6080.9350.582-0.0650.0370.4600.4430.4390.4340.3940.4410.5160.0130.0120.5170.5480.6190.4750.4730.4700.4000.4000.3600.0240.9340.8300.5240.2130.4100.4100.4080.5770.3770.3840.3350.3090.3890.3920.3520.2920.1110.1770.012-0.0120.0880.1310.1820.5220.5180.5120.0120.0120.4320.7210.6720.695-0.0530.1290.385-0.2130.0940.0500.061-0.0860.0200.2480.053-0.2281.0000.9430.9430.2020.431-0.1870.1290.263-0.0670.3910.210-0.0290.0120.0120.3950.3990.3610.0150.012-0.0130.335-0.0500.0130.012-0.0310.0120.0120.0121.000
Power factor set point0.0810.0910.0850.8660.9810.5630.0720.0000.0710.0770.9230.0340.0880.1820.0100.9230.9230.0270.9430.9430.9430.9430.9430.9430.0000.0000.9430.9430.9430.9430.9430.9430.9430.1060.0900.9430.9430.9430.9430.9430.9430.0830.0880.9230.0020.9430.9430.9430.2470.0250.0250.0260.9430.0270.0360.0180.0160.0230.9430.3920.0080.0000.0330.0050.0000.5590.5590.5590.9430.9430.9430.0900.0900.9240.9430.9430.9430.0000.2050.0160.0240.2480.9620.1640.0610.1860.0500.0000.9430.9431.0000.9810.0000.0150.0150.0000.0000.0000.0270.0000.0760.0890.0860.0830.0890.9230.0000.0880.0730.9430.0000.1070.0910.0690.0900.0830.0841.000
Power factor set point source0.0810.0910.0850.8660.9810.5630.0720.0000.0710.0770.9230.0340.0880.1820.0100.9230.9230.0270.9430.9430.9430.9430.9430.9430.0000.0000.9430.9430.9430.9430.9430.9430.9430.1060.0900.9430.9430.9430.9430.9430.9430.0830.0880.9230.0020.9430.9430.9430.2470.0250.0250.0260.9430.0270.0360.0180.0160.0230.9430.3920.0080.0000.0330.0050.0000.5590.5590.5590.9430.9430.9430.0900.0900.9240.9430.9430.9430.0000.2050.0160.0240.2480.9620.1640.0610.1860.0500.0000.9430.9430.9811.0000.0000.0150.0150.0000.0000.0000.0270.0000.0760.0890.0860.0830.0890.9230.0000.0880.0730.9430.0000.1070.0910.0690.0900.0830.0841.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.037-0.036-0.0360.0960.000-0.0890.1570.0050.6850.6410.6660.427-0.0370.103-0.744-0.757-0.7320.297-0.119-0.2440.1410.6680.3880.589-0.169-0.0390.7430.7260.7400.7510.7530.7340.454-0.036-0.0360.6820.6760.5370.7010.7010.7010.7610.6880.7690.1260.3550.4230.6880.9210.7420.7460.7480.0000.6800.6450.5620.6550.7730.7280.7010.6680.3910.1630.498-0.6650.1540.1280.2010.6680.6550.650-0.037-0.0370.2090.4700.4840.484-0.2770.2350.4570.3440.166-0.0010.271-0.1750.2130.8340.206-0.0280.2020.0000.0001.0000.4420.3620.4370.286-0.2360.7740.3420.028-0.036-0.0360.7600.6900.7710.103-0.037-0.040-0.312-0.276-0.036-0.0370.025-0.037-0.036-0.0371.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.036-0.035-0.0350.1210.0150.0340.020-0.0530.8320.8290.7600.710-0.0350.008-0.215-0.289-0.1160.344-0.130-0.2210.3400.6920.5190.757-0.015-0.0190.8560.8580.8540.8530.8490.8530.769-0.035-0.0350.8270.8200.7290.8460.8470.8460.8490.8500.7930.1050.5580.6170.7560.4630.8550.8570.8560.0110.8360.8360.7700.6960.8550.8520.7510.6800.1370.432-0.1740.1370.2200.2640.3480.8180.8160.812-0.035-0.0350.1730.7860.7550.792-0.1140.0970.970-0.6180.0990.0260.117-0.0950.1150.5330.126-0.1380.4310.0150.0150.4421.000-0.5410.1430.614-0.1480.8560.3650.029-0.036-0.0350.8490.8500.7950.086-0.035-0.042-0.222-0.113-0.035-0.0350.027-0.035-0.035-0.0351.000
Production LatestAverage Active Power Gen 2 Avg. [W]0.018-0.018-0.018-0.0010.015-0.1000.0920.068-0.132-0.146-0.132-0.168-0.0180.052-0.389-0.409-0.3980.1200.0170.000-0.162-0.008-0.118-0.157-0.089-0.027-0.106-0.117-0.106-0.098-0.104-0.111-0.303-0.018-0.018-0.138-0.140-0.167-0.144-0.143-0.142-0.084-0.099-0.1240.194-0.162-0.160-0.0560.311-0.086-0.087-0.0860.000-0.137-0.140-0.264-0.025-0.083-0.086-0.1860.0300.286-0.1550.469-0.528-0.056-0.113-0.134-0.144-0.152-0.151-0.018-0.018-0.030-0.288-0.258-0.283-0.1670.136-0.5590.9290.1080.0250.169-0.1050.1460.2400.1490.116-0.1870.0150.0150.362-0.5411.0000.250-0.2720.119-0.0810.0300.014-0.018-0.017-0.089-0.098-0.1230.184-0.018-0.016-0.060-0.167-0.018-0.0180.013-0.018-0.018-0.0181.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]-0.0040.0040.0040.0040.000-0.0060.128-0.0200.2610.2520.2170.2080.0040.088-0.328-0.344-0.2940.307-0.002-0.0670.1110.3000.2470.279-0.1440.0250.3070.3160.3010.3150.3230.2990.1930.0040.0040.2930.2920.2110.3040.3030.2990.3180.2930.3170.0110.1510.2100.3090.2920.3180.3180.3180.0000.2590.2820.1060.3310.3350.3320.2320.3050.9230.5550.551-0.2540.0610.0460.0820.3010.2830.2690.0040.0040.1830.1930.2070.1960.0100.1090.1500.2510.010-0.001-0.011-0.013-0.1060.3260.180-0.0610.1290.0000.0000.4370.1430.2501.0000.0950.1650.3350.816-0.0180.0040.0040.3240.2920.317-0.0060.0040.003-0.1060.0140.0040.004-0.0190.0040.0040.0031.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.019-0.019-0.0190.1010.0000.0130.023-0.0130.5110.5240.4310.492-0.0190.013-0.097-0.198-0.0010.296-0.087-0.1370.2060.4330.3190.462-0.032-0.0150.5230.5240.5200.5200.5150.5200.442-0.019-0.0190.5070.5040.4480.5180.5180.5180.5180.5430.4540.1660.3370.3740.4520.2970.5300.5300.5300.0000.5170.5320.4210.4800.5300.5410.3900.4770.1470.360-0.1770.1820.1640.1900.2390.5000.5000.497-0.019-0.0190.0770.4710.4430.474-0.0830.0640.597-0.3550.0610.0180.084-0.0580.0830.3440.149-0.0850.2630.0000.0000.2860.614-0.2720.0951.000-0.0480.5300.5420.014-0.019-0.0190.5140.5420.4550.158-0.019-0.025-0.137-0.082-0.019-0.0190.013-0.019-0.019-0.0191.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0080.0080.0080.0020.0000.005-0.0490.065-0.216-0.172-0.299-0.0180.008-0.0690.1510.0650.2710.4130.0540.076-0.061-0.148-0.104-0.162-0.030-0.003-0.188-0.167-0.197-0.185-0.180-0.194-0.1190.0080.008-0.155-0.147-0.133-0.171-0.171-0.170-0.176-0.070-0.2700.238-0.097-0.122-0.183-0.337-0.187-0.186-0.1870.000-0.216-0.122-0.455-0.048-0.196-0.111-0.452-0.0230.3270.434-0.2670.453-0.046-0.051-0.059-0.178-0.172-0.1710.0080.008-0.023-0.141-0.139-0.144-0.0510.041-0.1540.1270.0300.0150.052-0.0290.047-0.2660.2350.021-0.0670.0000.000-0.236-0.1480.1190.165-0.0481.000-0.1970.302-0.0040.0080.008-0.170-0.071-0.2710.2280.0080.0100.076-0.0500.0080.008-0.0040.0080.0080.0081.000
Production LatestAverage Total Active Power Avg. [W]0.049-0.049-0.0490.1320.027-0.0280.096-0.0280.9360.9170.8690.735-0.0490.061-0.557-0.623-0.4690.389-0.148-0.2750.2980.8220.5490.821-0.075-0.0310.9720.9650.9720.9730.9640.9670.740-0.049-0.0490.9110.9000.7700.9320.9320.9320.9810.9630.9120.2410.5560.6360.8810.7670.9840.9850.9850.0150.9370.9280.8290.8280.9980.9830.8720.8280.3010.3830.144-0.2420.2340.2510.3400.9030.8940.888-0.049-0.0490.2110.7650.7510.777-0.2070.1840.829-0.1960.1620.0350.210-0.1580.1850.8170.200-0.1040.3910.0270.0270.7740.856-0.0810.3350.530-0.1971.0000.4190.038-0.049-0.0480.9780.9630.9150.214-0.049-0.055-0.311-0.205-0.049-0.0490.035-0.049-0.049-0.0491.000
Production LatestAverage Total Reactive Power Avg. [var]0.001-0.001-0.0010.0430.0000.0150.086-0.0130.3550.3680.2610.370-0.0010.054-0.187-0.270-0.0800.432-0.024-0.0810.1760.3580.3060.374-0.1210.0180.3980.4110.3900.4020.4060.3900.307-0.001-0.0010.3900.3900.3200.4020.4010.3980.4010.4200.3420.1270.2390.2930.3750.2190.4070.4070.4070.0000.3570.4030.1500.4270.4190.4400.2190.4060.8670.7030.2380.0610.1130.1180.1620.3960.3840.371-0.001-0.0010.1620.3240.3180.3250.0010.1000.358-0.0150.0190.0100.000-0.018-0.0790.2940.232-0.0900.2100.0000.0000.3420.3650.0300.8160.5420.3020.4191.000-0.012-0.001-0.0010.4040.4180.3420.111-0.001-0.004-0.1040.004-0.001-0.001-0.014-0.001-0.001-0.0011.000
Reactive power generator 0,Total accumulated [var]0.966-0.965-0.965-0.5190.076-0.603-0.144-0.0680.0200.0230.0290.020-0.965-0.1530.014-0.0030.0020.054-0.681-0.6120.0960.068-0.041-0.204-0.0070.0110.0280.0280.0260.0250.0190.015-0.087-0.965-0.965-0.021-0.031-0.231-0.047-0.044-0.0400.0290.0360.0280.0040.071-0.090-0.1500.0230.0360.0360.0370.0490.0340.0330.0410.0220.0380.0380.0460.003-0.0180.009-0.0230.0080.0860.1640.132-0.146-0.152-0.156-0.965-0.965-0.3900.0500.0850.056-0.0660.0400.0160.0100.0400.0020.066-0.0420.0700.0170.017-0.001-0.0290.0760.0760.0280.0290.014-0.0180.014-0.0040.038-0.0121.000-0.965-0.9650.0280.0350.0280.001-0.966-0.931-0.590-0.066-0.965-0.9650.998-0.966-0.965-0.9661.000
Reactive power generator 1, Total accumulated [var]-1.0001.0001.0000.5340.0890.6360.1800.074-0.030-0.034-0.037-0.0321.0000.180-0.0200.005-0.007-0.0650.7230.648-0.123-0.0790.0270.2010.001-0.009-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0280.2370.0430.0400.036-0.036-0.044-0.0320.000-0.0860.0870.145-0.032-0.042-0.043-0.0440.054-0.043-0.044-0.049-0.032-0.049-0.050-0.056-0.0100.005-0.0160.0130.005-0.099-0.181-0.1420.1410.1500.1551.0001.0000.409-0.057-0.089-0.0620.042-0.038-0.018-0.012-0.0430.006-0.0400.047-0.044-0.025-0.0230.0170.0120.0890.089-0.036-0.036-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.034-0.043-0.0330.0031.0000.9830.6250.0411.0001.000-0.9551.0001.0001.0001.000
Reactive power generator 2, Total accumulated [var]-1.0001.0001.0000.5330.0860.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0200.005-0.007-0.0650.7230.649-0.122-0.0790.0280.2010.002-0.009-0.033-0.034-0.032-0.030-0.024-0.0200.0951.0001.0000.0160.0280.2370.0430.0400.036-0.035-0.043-0.0320.001-0.0850.0870.145-0.032-0.042-0.043-0.0430.053-0.043-0.043-0.048-0.031-0.049-0.049-0.055-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1420.1510.1561.0001.0000.408-0.057-0.090-0.0620.042-0.039-0.018-0.012-0.0420.006-0.0410.046-0.044-0.025-0.0220.0160.0120.0860.086-0.036-0.035-0.0170.004-0.0190.008-0.048-0.001-0.9651.0001.000-0.033-0.042-0.0330.0031.0000.9830.6260.0421.0001.000-0.9561.0001.0001.0001.000
Rotor RPM Avg. [RPM]0.034-0.033-0.0330.1440.083-0.0120.103-0.0160.9240.8990.8620.709-0.0330.059-0.588-0.641-0.4970.382-0.128-0.2560.2950.8230.5440.812-0.109-0.0500.9740.9700.9750.9770.9690.9690.762-0.033-0.0330.9170.9090.7780.9310.9310.9320.9960.9620.9390.2470.5680.6400.8670.7450.9790.9800.9810.0440.9180.9090.8100.8180.9760.9620.8560.8260.2900.3740.126-0.2210.2390.2540.3460.8950.8890.887-0.033-0.0330.2300.7660.7530.778-0.2860.2330.832-0.1910.2080.0560.291-0.1990.2660.7880.215-0.0890.3950.0830.0830.7600.849-0.0890.3240.514-0.1700.9780.4040.028-0.034-0.0331.0000.9630.9410.214-0.033-0.040-0.297-0.285-0.033-0.0330.025-0.033-0.033-0.0331.000
Rotor RPM Max. [RPM]0.043-0.043-0.0430.1460.089-0.0120.0660.0010.9150.9200.8140.797-0.0430.021-0.516-0.628-0.3840.496-0.124-0.2480.2990.8060.5370.800-0.045-0.0350.9530.9520.9520.9530.9400.9480.748-0.043-0.0430.9020.8940.7680.9160.9170.9180.9670.9990.8580.3990.5640.6350.8520.6800.9690.9700.9690.0470.9140.9350.7540.8550.9610.9830.7730.8690.2870.4760.015-0.1000.2340.2560.3450.8800.8740.872-0.043-0.0430.2060.7660.7480.777-0.2430.1960.824-0.2150.2010.0560.249-0.1930.2480.7500.301-0.0960.3990.0890.0890.6900.850-0.0980.2920.542-0.0710.9630.4180.035-0.043-0.0420.9631.0000.8620.366-0.043-0.050-0.283-0.242-0.043-0.0430.032-0.043-0.043-0.0431.000
Rotor RPM Min. [RPM]0.033-0.033-0.0330.1230.923-0.0200.130-0.0330.8620.8040.8790.542-0.0330.084-0.592-0.571-0.5750.263-0.140-0.2600.2720.7730.5060.750-0.149-0.0620.9120.9040.9120.9160.9150.9060.731-0.033-0.0330.8550.8470.7180.8670.8680.8680.9350.8600.9980.0610.5330.5980.7990.7290.9100.9130.9141.0000.8480.8120.8290.7010.9160.8680.9060.7070.2410.2610.237-0.3270.2220.2300.3150.8320.8270.825-0.033-0.0330.2080.7070.6980.719-0.3060.2260.791-0.1690.185-0.0220.295-0.1990.2580.7400.115-0.0810.3610.9230.9230.7710.795-0.1230.3170.455-0.2710.9150.3420.028-0.033-0.0330.9410.8621.0000.030-0.033-0.037-0.304-0.306-0.033-0.0330.026-0.033-0.033-0.0331.000
Rotor RPM StdDev [RPM]-0.0030.0030.0030.0630.000-0.049-0.0230.1100.2110.2700.0640.3890.003-0.063-0.328-0.412-0.1150.2720.006-0.036-0.0120.1540.0640.1500.048-0.0060.2200.2260.2210.2150.1890.2230.0780.0030.0030.2070.2080.1610.1970.1980.2000.2260.3670.0280.9880.0660.0810.1560.0890.2430.2400.2380.0000.2150.2850.0270.3670.2130.300-0.0290.4100.0860.410-0.2900.2370.0680.0720.0900.1720.1760.1780.0030.0030.1130.1310.1390.138-0.1210.0760.1390.0410.1230.0410.125-0.1190.1640.2350.3060.0480.0150.0000.0000.1030.0860.184-0.0060.1580.2280.2140.1110.0010.0030.0030.2140.3660.0301.0000.003-0.005-0.058-0.1200.0030.003-0.0000.0030.0030.0031.000
Run hours [h]-1.0001.0001.0000.5330.0880.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0270.2010.003-0.009-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0270.2370.0430.0390.036-0.036-0.044-0.0320.001-0.0850.0870.145-0.032-0.042-0.043-0.0440.054-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.004-0.0170.0130.005-0.098-0.179-0.1400.1410.1510.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0430.006-0.0420.047-0.045-0.025-0.0230.0160.0120.0880.088-0.037-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9661.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0431.0001.000-0.9561.0001.0001.0001.000
Service hours [h]-0.9830.9830.9830.5420.0730.6270.1790.073-0.039-0.043-0.043-0.0420.9830.177-0.0120.014-0.003-0.0660.7230.641-0.143-0.0920.0060.194-0.006-0.012-0.041-0.041-0.039-0.037-0.031-0.0270.0880.9830.9830.0060.0170.2280.0360.0320.029-0.042-0.051-0.036-0.008-0.1080.0730.139-0.038-0.049-0.051-0.0510.048-0.051-0.053-0.054-0.041-0.056-0.057-0.059-0.0200.003-0.0210.0170.004-0.098-0.176-0.1390.1360.1450.1500.9830.9830.382-0.083-0.118-0.0880.039-0.035-0.026-0.008-0.0440.007-0.0370.048-0.045-0.034-0.0280.028-0.0130.0730.073-0.040-0.042-0.0160.003-0.0250.010-0.055-0.004-0.9310.9830.983-0.040-0.050-0.037-0.0050.9831.0000.6170.0380.9830.983-0.9190.9830.9830.9831.000
Spinner Temp. Avg. [°C]-0.6260.6250.6260.2900.9430.8510.0940.063-0.328-0.307-0.340-0.2120.6260.1210.2400.2510.233-0.1180.8680.9830.258-0.2150.2110.013-0.079-0.009-0.277-0.285-0.286-0.285-0.301-0.279-0.0530.6250.626-0.231-0.1970.091-0.234-0.238-0.242-0.295-0.282-0.304-0.0720.1270.171-0.081-0.299-0.293-0.294-0.2960.577-0.332-0.321-0.303-0.295-0.312-0.301-0.289-0.263-0.092-0.096-0.0760.136-0.163-0.181-0.160-0.096-0.087-0.0840.6260.6260.417-0.094-0.122-0.1140.0170.060-0.224-0.0280.0170.038-0.010-0.008-0.049-0.322-0.114-0.0280.3350.9430.943-0.312-0.222-0.060-0.106-0.1370.076-0.311-0.104-0.5900.6250.626-0.297-0.283-0.304-0.0580.6260.6171.0000.0200.6260.626-0.5780.6260.6260.6261.000
System Logs First Active Alarm No-0.0430.0420.042-0.1230.0000.007-0.010-0.0750.0010.005-0.0160.0290.0430.0270.3390.3330.342-0.1570.000-0.0180.023-0.248-0.040-0.1040.5200.196-0.258-0.254-0.253-0.272-0.273-0.249-0.2610.0420.042-0.206-0.218-0.199-0.186-0.189-0.194-0.284-0.241-0.305-0.149-0.173-0.116-0.153-0.212-0.262-0.262-0.2630.0000.0070.008-0.005-0.071-0.205-0.192-0.179-0.2350.007-0.0130.0200.040-0.025-0.006-0.035-0.147-0.167-0.1850.0430.043-0.004-0.113-0.125-0.1181.000-0.770-0.128-0.180-0.621-0.032-0.9850.631-0.851-0.118-0.105-0.156-0.0500.0000.000-0.276-0.113-0.1670.014-0.082-0.050-0.2050.004-0.0660.0410.042-0.285-0.242-0.306-0.1200.0430.0380.0201.0000.0430.043-0.0690.0430.0430.0421.000
Total Active power [W]-1.0001.0001.0000.5340.1070.6360.1810.073-0.029-0.033-0.037-0.0311.0000.182-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0280.2020.003-0.009-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0280.2370.0430.0400.036-0.036-0.044-0.0320.000-0.0850.0880.145-0.032-0.042-0.043-0.0440.064-0.043-0.044-0.048-0.032-0.049-0.049-0.055-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1510.1561.0001.0000.408-0.057-0.089-0.0610.043-0.039-0.018-0.013-0.0430.006-0.0420.047-0.045-0.025-0.0230.0160.0130.1070.107-0.036-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0431.0001.000-0.9561.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.0000.5330.0910.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0270.2010.003-0.010-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0270.2370.0430.0390.036-0.036-0.044-0.0320.000-0.0850.0870.145-0.032-0.042-0.043-0.0440.056-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1500.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0430.006-0.0420.047-0.045-0.025-0.0230.0160.0120.0910.091-0.037-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0431.0001.000-0.9561.0001.0001.0001.000
Total reactive power [var]0.956-0.956-0.956-0.5160.069-0.593-0.139-0.0680.0170.0190.0260.015-0.956-0.1480.0150.0000.0020.051-0.669-0.6000.0920.066-0.042-0.205-0.0110.0100.0250.0260.0240.0220.0160.012-0.087-0.956-0.956-0.023-0.033-0.231-0.050-0.046-0.0430.0270.0330.0250.0030.069-0.090-0.1520.0200.0330.0340.0340.0430.0300.0290.0390.0180.0350.0340.044-0.002-0.0200.007-0.0230.0090.0830.1610.130-0.147-0.154-0.157-0.956-0.956-0.3860.0480.0820.053-0.0690.0410.0140.0100.0390.0040.069-0.0410.0710.0150.0140.002-0.0310.0690.0690.0250.0270.013-0.0190.013-0.0040.035-0.0140.998-0.955-0.9560.0250.0320.026-0.000-0.956-0.919-0.578-0.069-0.956-0.9561.000-0.956-0.956-0.9561.000
Turbine ok hours [h]-1.0001.0001.0000.5330.0900.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0270.2010.003-0.010-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0270.2370.0430.0390.036-0.036-0.044-0.0320.001-0.0850.0870.145-0.032-0.042-0.043-0.0440.055-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1500.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0430.006-0.0420.047-0.045-0.025-0.0230.0160.0120.0900.090-0.037-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9661.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0431.0001.000-0.9561.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.0000.5330.0830.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0270.2010.003-0.010-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0270.2370.0430.0390.036-0.036-0.044-0.0320.000-0.0850.0870.145-0.032-0.042-0.043-0.0440.054-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.005-0.0170.0130.005-0.098-0.179-0.1400.1410.1500.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0430.006-0.0420.047-0.045-0.025-0.0230.0160.0120.0830.083-0.036-0.035-0.0180.004-0.0190.008-0.049-0.001-0.9651.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0431.0001.000-0.9561.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.0000.5330.0840.6360.1810.073-0.029-0.033-0.037-0.0311.0000.181-0.0190.005-0.007-0.0650.7230.649-0.122-0.0790.0270.2010.003-0.010-0.033-0.034-0.032-0.031-0.025-0.0200.0951.0001.0000.0160.0270.2370.0430.0390.036-0.036-0.044-0.0320.001-0.0850.0870.145-0.032-0.042-0.043-0.0440.052-0.043-0.044-0.048-0.032-0.049-0.049-0.056-0.0100.004-0.0170.0130.005-0.098-0.179-0.1400.1410.1500.1551.0001.0000.408-0.057-0.090-0.0620.043-0.039-0.018-0.013-0.0430.006-0.0410.047-0.045-0.025-0.0230.0160.0120.0840.084-0.037-0.035-0.0180.003-0.0190.008-0.049-0.001-0.9661.0001.000-0.033-0.043-0.0330.0031.0000.9830.6260.0421.0001.000-0.9561.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-05T17:37:15.471340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-05T17:37:16.239364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-05T17:37:19.515516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001058.01040.01049.03.047.039.040.041.026.051.029.053.0999.0999.053.049.00.054.055.054.061.060.027.0336.010.19.910.00.06.42.84.60.4-3.2332.88.00.035.034.034.032.0143.31.050.0565.9564.9562.079.983.789.8194.894.328.020.60.00.2-0.30.0142.0194.093.020.00.00.00.00.00.00.00.00.02000.011.00.01.011.016.028.015.039.083.032.010.0999.0-0.4-2.5-1.40.350.054.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0124524000.0122788728.0117870400.0119253096.0115082240.040521556.048108740.05939618.02753667.0119162424.082998960.00.00.023883.023883.00.00.00.00.0-116617.019924944.03295686.023104012.0-68262.0420.04353.0-63488.00.00.00.0False
12020-01-01 00:10:001054.01043.01049.02.047.039.040.041.027.051.028.053.0999.0999.053.049.00.053.055.054.060.059.027.0336.010.19.910.00.05.62.94.10.4-2.9333.18.00.033.032.033.031.092.01.050.0566.0565.1562.149.553.459.8146.637.528.024.50.00.2-0.30.091.0146.037.024.00.00.00.00.00.00.00.00.02000.011.00.01.011.016.028.015.039.083.030.010.0999.0-0.2-1.4-0.80.250.054.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0558.00.0124524000.0122789328.0117871000.0119253696.0115082840.040521556.048109344.05939618.02753667.0119163024.082999520.00.00.015731.015731.00.00.00.00.0-116617.019924944.03295701.023104028.0-68262.0420.04353.0-63488.00.00.00.0False
22020-01-01 00:20:001061.01041.01050.03.046.039.040.040.027.051.028.053.0999.0999.053.049.00.053.054.054.060.059.027.0336.010.19.910.00.06.52.84.70.5-2.6333.48.00.034.032.033.030.0159.01.050.0566.9566.1563.288.793.598.5249.455.128.044.20.00.2-0.30.0158.0249.055.044.00.00.00.00.00.00.00.00.02000.011.00.01.011.016.028.015.039.083.030.010.0999.0-0.2-2.6-1.60.550.054.048.039.0600.0600.0600.0600.0600.00.0600.00.00.0600.0547.00.0124524000.0122789928.0117871600.0119254296.0115083440.040521556.048109940.05939618.02753667.0119163624.083000064.00.00.025883.025883.00.00.00.00.0-116617.019924944.03295727.023104054.0-68262.0420.04353.0-63488.00.00.00.0False
32020-01-01 00:30:001233.01040.01072.040.046.039.040.041.027.051.029.053.0999.0999.053.049.00.054.055.054.061.060.027.0336.011.89.910.20.37.43.85.40.5-0.6335.48.00.037.035.035.032.0243.51.050.0567.1566.3563.4138.0143.8148.0411.9180.528.045.10.00.2-0.30.0243.0410.0178.045.00.00.00.00.00.00.00.00.02000.011.00.01.011.016.029.015.039.083.032.010.0999.0-1.6-2.8-2.30.250.054.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0124527600.0122790528.0117872200.0119254896.0115084040.040521556.048110544.05939618.02753667.0119164224.083000672.00.00.040685.040685.00.00.00.00.0-116617.019924944.03295769.023104096.0-68262.0420.04353.0-63488.00.00.00.0False
42020-01-01 00:40:001096.01040.01054.09.046.040.040.041.027.051.029.054.0999.0999.054.049.00.056.055.054.061.060.027.0336.010.59.910.00.06.84.05.10.4-3.8332.28.00.036.034.034.032.0221.01.050.0568.0567.0564.3124.9129.8134.8281.1164.928.020.30.00.2-0.30.0220.0282.0164.020.00.00.00.00.00.00.00.00.02000.011.00.01.011.015.029.015.039.084.031.010.0999.0-1.3-2.8-2.10.250.054.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0124527600.0122791128.0117872800.0119255496.0115084640.040521556.048111140.05939618.02753667.0119164824.083001264.00.00.036792.036792.00.00.00.00.0-116617.019924944.03295805.023104132.0-68262.0420.04353.0-63488.00.00.00.0False
52020-01-01 00:50:001070.01039.01050.04.046.040.040.041.027.051.028.054.0999.0999.053.049.00.055.055.054.061.060.027.0336.010.29.910.00.06.43.44.70.4-5.5330.58.00.034.033.033.031.0164.81.050.0569.0567.9565.191.896.4101.7221.8112.628.021.20.00.2-0.30.0164.0222.0112.021.00.00.00.00.00.00.00.00.02000.011.00.01.011.015.029.015.039.084.030.010.0999.0-0.9-2.7-1.50.350.054.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0124527600.0122791728.0117873400.0119256096.0115085240.040521556.048111740.05939618.02753667.0119165424.083001872.00.00.027539.027539.00.00.00.00.0-116617.019924944.03295832.023104160.0-68262.0420.04353.0-63488.00.00.00.0False
62020-01-01 01:00:001125.01040.01052.010.046.039.040.041.027.051.028.054.0999.0999.053.049.00.055.055.054.061.060.027.0336.010.79.910.00.16.63.64.80.4-6.2329.88.00.034.033.033.030.0178.81.050.0569.2568.1565.599.9104.5109.8272.0111.428.026.20.00.1-0.30.0178.0273.0111.026.00.00.00.00.00.00.00.00.02000.011.00.01.011.015.029.015.039.084.030.010.0999.0-0.9-2.7-1.70.350.054.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0124527600.0122792328.0117874000.0119256696.0115085840.040521556.048112344.05939618.02753667.0119166024.083002472.00.00.029743.029743.00.00.00.00.0-116617.019924944.03295863.023104188.0-68262.0420.04353.0-63488.00.00.00.0False
72020-01-01 01:10:001126.01038.01059.016.046.039.040.041.027.051.029.054.0999.0999.053.049.00.055.055.054.061.060.027.0336.010.89.910.10.17.13.35.10.5-3.7332.38.00.037.034.035.032.0217.61.050.0568.4567.4564.9123.0127.7132.4325.8141.928.038.50.00.3-0.40.0217.0327.0141.038.00.00.00.00.00.00.00.00.02000.011.00.01.011.015.029.015.039.084.032.010.0999.0-1.1-2.8-2.10.450.054.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0124527600.0122792928.0117874600.0119257296.0115086440.040521556.048112944.05939618.02753667.0119166624.083003072.00.00.035811.035811.00.00.00.00.0-116617.019924944.03295899.023104224.0-68262.0420.04353.0-63488.00.00.00.0False
82020-01-01 01:20:001171.01046.01084.029.046.040.040.041.027.051.029.054.0999.0999.054.049.00.056.056.054.061.060.027.0336.011.210.010.30.27.14.35.60.5-3.4332.68.00.037.034.034.032.0264.11.050.0569.8568.6566.1149.7155.1159.3359.2155.929.035.20.00.2-0.30.0263.0360.0153.035.00.00.00.00.00.00.00.00.02000.011.00.01.011.015.029.015.040.085.032.010.0999.0-1.9-2.8-2.40.150.055.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0124527600.0122793528.0117875200.0119257896.0115087040.040521556.048113544.05939618.02753667.0119167224.083003672.00.00.043777.043777.00.00.00.00.0-116617.019924944.03295942.023104268.0-68262.0420.04353.0-63488.00.00.00.0False
92020-01-01 01:30:001312.01045.01135.064.047.040.041.042.027.052.028.054.0999.0999.054.049.00.056.056.055.061.061.028.0336.012.510.010.80.67.74.25.90.5-4.0332.08.00.036.034.034.032.0311.41.050.0570.8569.8567.3177.0182.6186.7485.4213.529.053.90.00.2-0.30.0311.0485.0213.054.00.00.00.00.00.00.00.00.02000.011.00.01.011.015.029.015.040.085.031.010.0999.0-1.9-2.8-2.50.150.055.048.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0124531200.0122794128.0117875800.0119258496.0115087640.040521556.048114144.05939618.02753667.0119167824.083004272.00.00.052270.052270.00.00.00.00.0-116617.019924944.03295995.023104320.0-68262.0420.04353.0-63488.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001433.01201.01352.032.061.052.053.054.034.065.038.050.0999.0999.060.052.00.063.063.061.063.064.034.0333.213.711.512.80.38.15.47.10.30.1333.324.00.042.042.042.040.0497.81.050.0569.7568.3566.0285.3292.2296.7592.8348.736.042.30.00.5-0.30.0497.0597.0350.042.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.034.046.090.040.028.0999.0-1.9-2.8-2.50.059.063.057.048.0600.0600.0600.0600.0600.00.0600.014.00.0600.0600.00.0140241600.0138491568.0133315336.0134508000.0130196904.046027920.054718388.06755759.03007146.0134486304.093996584.00.00.083065.083065.00.00.00.00.0-129404.022494020.03743968.026108584.0-72337.0480.04948.0-66907.00.00.00.0False
261992020-06-30 22:30:001435.01306.01362.026.061.052.052.053.034.065.037.051.0999.0999.060.051.00.063.063.061.063.064.034.0337.413.712.512.90.28.25.97.10.3-2.1335.324.00.042.042.042.040.0489.21.050.0571.7570.3568.0279.2286.2290.8582.9397.336.032.30.00.2-0.30.0488.0579.0396.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.034.046.090.040.027.0999.0-2.3-2.7-2.50.059.063.057.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0140245200.0138492176.0133315936.0134508592.0130197504.046027920.054718988.06755759.03007146.0134486896.093997184.00.00.081448.081448.00.00.00.00.0-129404.022494020.03744049.026108664.0-72337.0480.04948.0-66907.00.00.00.0False
262002020-06-30 22:40:001476.01325.01402.024.061.052.052.053.034.065.037.052.0999.0999.059.051.00.062.063.060.063.064.034.0337.414.112.613.30.28.66.27.30.40.6338.024.00.041.042.042.040.0494.11.050.0573.1571.4569.2281.4288.2293.0607.4380.536.037.40.00.2-0.30.0493.0614.0380.038.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.034.046.090.040.027.0999.0-2.3-2.7-2.50.059.062.057.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0140245200.0138492768.0133316536.0134509200.0130198104.046027920.054719588.06755759.03007146.0134487504.093997784.00.00.082081.082081.00.00.00.00.0-129404.022494020.03744132.026108748.0-72337.0480.04948.0-66907.00.00.00.0False
262012020-06-30 22:50:001489.01324.01387.029.061.051.052.053.034.065.037.053.0999.0999.060.052.00.062.063.061.063.064.034.0340.514.212.613.20.29.06.07.30.40.5341.025.00.041.042.042.040.0474.91.050.0573.4571.7568.9269.6276.6282.6596.7357.236.036.40.00.6-0.60.0474.0613.0351.037.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.034.046.090.040.027.0999.0-2.2-2.8-2.50.059.062.057.048.0600.0600.0600.0600.0600.00.0600.013.00.0600.0600.00.0140245200.0138493376.0133317136.0134509792.0130198704.046027920.054720188.06755772.03007146.0134488096.093998384.00.00.079381.079381.00.00.00.00.0-129404.022494020.03744211.026108826.0-72337.0480.04948.0-66907.00.00.00.0False
262022020-06-30 23:00:001394.01258.01320.029.061.051.052.053.034.065.037.054.0999.0999.059.051.00.061.062.060.062.063.034.0344.013.312.012.50.28.25.56.90.3-1.4342.725.00.042.042.042.039.0437.71.050.0573.8571.7569.0247.5255.2260.9531.2336.036.032.00.00.2-0.30.0437.0531.0335.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.033.046.090.040.027.0999.0-2.3-2.8-2.50.059.062.057.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0140245200.0138493968.0133317736.0134510400.0130199304.046027920.054720784.06755772.03007146.0134488704.093998984.00.00.073250.073250.00.00.00.00.0-129404.022494020.03744284.026108900.0-72337.0480.04948.0-66907.00.00.00.0False
262032020-06-30 23:10:001359.01149.01262.040.060.051.051.052.034.065.037.051.0999.0999.059.052.00.060.061.059.062.063.034.0344.013.011.012.00.38.05.16.60.4-1.2342.925.00.043.042.042.040.0387.41.050.0574.3572.2569.4218.0225.9231.2496.3264.236.041.80.00.2-0.30.0386.0501.0263.042.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.035.033.047.090.040.027.0999.0-2.3-2.8-2.50.059.062.056.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0140245200.0138494576.0133318336.0134510992.0130199904.046027920.054721388.06755772.03007146.0134489296.093999584.00.00.064886.064886.00.00.00.00.0-129404.022494020.03744350.026108964.0-72337.0480.04948.0-66907.00.00.00.0False
262042020-06-30 23:20:001287.01150.01211.029.060.050.051.052.034.064.038.046.0999.0999.058.051.00.059.060.058.061.063.035.0344.012.311.011.50.27.75.16.30.3-0.2343.925.00.044.043.043.040.0327.61.050.0573.7571.4568.7183.5191.5196.3432.2228.036.033.70.00.2-0.30.0327.0433.0227.034.00.00.00.00.00.00.00.00.03000.011.00.01.011.030.035.033.047.090.041.027.0999.0-2.1-2.8-2.50.159.062.056.047.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0140245200.0138495168.0133318936.0134511584.0130200504.046027920.054721984.06755772.03007146.0134489904.094000184.00.00.054751.054751.00.00.00.00.0-129404.022494020.03744404.026109020.0-72337.0480.04948.0-66907.00.00.00.0False
262052020-06-30 23:30:001252.01064.01151.038.059.050.051.052.034.064.038.045.0999.0999.057.050.00.058.059.057.061.062.035.0344.012.010.110.90.37.22.66.00.41.5345.625.00.043.042.042.039.0270.21.050.0572.4569.3567.0150.2159.0163.1367.4112.836.046.70.00.2-0.30.0269.0368.0112.047.00.00.00.00.00.00.00.00.03000.011.00.01.011.030.035.033.047.091.040.027.0999.0-0.8-2.8-2.50.258.062.056.047.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0140248800.0138495776.0133319536.0134512192.0130201104.046027920.054722584.06755772.03007146.0134490496.094000784.00.00.045705.045705.00.00.00.00.0-129404.022494020.03744450.026109064.0-72337.0480.04948.0-66907.00.00.00.0False
262062020-06-30 23:40:001172.01044.01076.029.058.050.050.051.034.063.037.047.0999.0999.055.050.00.057.058.056.061.061.034.0344.011.210.010.20.26.94.25.50.42.3346.425.00.043.041.041.039.0225.81.050.0570.5567.4565.3124.7133.6137.4310.1159.436.030.40.00.2-0.30.0225.0311.0153.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.030.035.033.047.091.040.027.0999.0-1.8-2.8-2.40.158.062.056.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0140248800.0138496368.0133320136.0134512800.0130201704.046027920.054723184.06755772.03007146.0134491104.094001384.00.00.037864.037864.00.00.00.00.0-129404.022494020.03744487.026109104.0-72337.0480.04948.0-66907.00.00.00.0False
262072020-06-30 23:50:001087.01045.01051.05.057.049.050.050.034.062.037.048.0999.0999.054.050.00.056.057.055.060.061.034.0352.210.49.910.00.06.34.45.20.3-4.9347.325.00.042.040.041.038.0195.41.050.0568.0564.6562.6107.3116.2120.1235.8169.536.012.50.00.4-0.40.0195.0236.0169.012.00.00.00.00.00.00.00.00.03000.011.00.01.011.030.035.033.047.091.039.027.0999.0-1.9-2.7-2.30.158.061.056.047.0600.0600.0600.0600.0600.00.0600.016.00.0600.0600.00.0140248800.0138496976.0133320736.0134513392.0130202304.046027920.054723788.06755789.03007146.0134491696.094001984.00.00.032580.032580.00.00.00.00.0-129404.022494020.03744520.026109136.0-72337.0480.04948.0-66907.00.00.00.0False